Publications by authors named "J M Dorn"
Article Synopsis
- High mechanical loading induces temporary disruptions in cell membranes (PMD) that initiate a process called mechanotransduction, which is essential for bone adaptation.
- The study hypothesized that disrupting a protein called β2-spectrin (Sptbn1), which supports cell structure, would increase membrane fragility, leading to altered responses in osteocytes (bone cells) under mechanical stress.
- Results showed that disrupting Sptbn1 led to more PMD formation and slower repair rates in cells, impaired cell survival, and reduced bone thickening in response to mechanical loading, highlighting Sptbn1's crucial role in bone adaptation and cell response to stress.
Background: The history of rare diseases is largely unknown. Research on this topic has focused on individual cases of prominent (historical) individuals and artistic (e.g.
View Article and Find Full Text PDFBackground: Artificial intelligence (AI) is often promoted as a potential solution for many challenges health care systems face worldwide. However, its implementation in clinical practice lags behind its technological development.
Objective: This study aims to gain insights into the current state and prospects of AI technology from the stakeholders most directly involved in its adoption in the health care sector whose perspectives have received limited attention in research to date.
We and others have seen that osteocytes sense high-impact osteogenic mechanical loading via transient plasma membrane disruptions (PMDs) which initiate downstream mechanotransduction. However, a PMD must be repaired for the cell to survive this wounding event. Previous work suggested that the protein Prkd1 (also known as PKCμ) may be a critical component of this PMD repair process, but the specific role of Prkd1 in osteocyte mechanobiology had not yet been tested.
View Article and Find Full Text PDFThis meta-analysis synthesizes experimental studies on the immediate effects of discrimination on mental health, exploring the effects of different paradigms and discrimination types on diverse facets of mental health. We analyzed data from a systematic literature search (73 studies; 12,097 participants; 245 effect sizes) for randomized controlled trials with manipulation of discrimination as a predictor and mental health as an outcome using a three-level random-effects model. Experimentally manipulated discrimination led to poorer mental health ( = -0.
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