Publications by authors named "L Boyle"
Corticosteroid binding globulin (CBG; SERPINA6) binds >85% of circulating glucocorticoids but its influence on their metabolic actions is unproven. Targeted proteolytic cleavage of CBG by neutrophil elastase (NE; ELANE) significantly reduces CBG binding affinity, potentially increasing 'free' glucocorticoid levels at sites of inflammation. NE is inhibited by alpha-1-antitrypsin (AAT; SERPINA1).
View Article and Find Full Text PDFObjective: Outcomes are poor for patients with congenital adrenal hyperplasia (CAH), in part due to the supraphysiological glucocorticoid doses required to control adrenal androgen excess. Hydrocortisone (ie, cortisol) is the recommended glucocorticoid for treatment of CAH. However, the other endogenous glucocorticoid in humans, corticosterone, is actively transported out of metabolic tissues such as adipose tissue and muscle, so we hypothesized that corticosterone could control adrenal androgens while causing fewer metabolic adverse effects than hydrocortisone.
View Article and Find Full Text PDFObjective: This study examines the extent to which cybersecurity attacks on autonomous vehicles (AVs) affect human trust dynamics and driver behavior.
Background: Human trust is critical for the adoption and continued use of AVs. A pressing concern in this context is the persistent threat of cyberattacks, which pose a formidable threat to the secure operations of AVs and consequently, human trust.
Article Synopsis
- The Gompertz-Makeham law illustrates a specific mortality pattern where death rates are stable from ages 18 to 30 and increase exponentially thereafter, and its applicability to surgical populations has not been previously analyzed.
- This study investigated a large New Zealand surgical dataset to assess the relationship between age and 1-month postoperative mortality, revealing that the law does indeed apply across various patient groups and conditions.
- Findings indicate that after age 30, there is a notable rise in mortality risk, particularly for high-risk categories, suggesting significant implications for understanding surgical risks and improving surgical risk models.