Publications by authors named "D F Keene"
Article Synopsis
- Supramolecular ECM networks, crucial for skin structure and function, include EMILIN proteins that interact with elastin and influence cellular signaling.
- Our study mapped the distribution of EMILIN-1, -2, and -3 in human skin, revealing their role in elastic fibers and their connections with basal keratinocytes.
- We found that in conditions like Marfan syndrome and scleroderma, the presence and localization of EMILINs change, indicating they can be used as markers for monitoring dermal ECM rearrangements due to aging and disease.
Article Synopsis
- - The study investigates the effectiveness of tendon allograft reconstruction in maintaining pubic stability after iliac osteotomies in patients undergoing bladder exstrophy repair, a condition needing surgical intervention due to pelvic organ issues.
- - Eleven patients, averaging 14 months old, underwent the procedure, followed by a period with external fixators, and their pelvic positions were monitored through scans and X-rays at various times, showing a successful urologic closure across the board.
- - Results indicated that in 9 of the 11 patients, the distance between their pubic bones either stabilized or decreased over an average follow-up of 11 months, suggesting that the reconstruction method is promising for managing pubic symphysis issues post-surgery.
Background: RNA-binding proteins (RBPs) modulate the synaptic proteome and are instrumental in maintaining synaptic homeostasis. Moreover, aberrant expression of an RBP in a disease state would have deleterious downstream effects on synaptic function. While many underlying mechanisms of synaptic dysfunction in Alzheimer's disease (AD) have been proposed, the contribution of RBPs has been relatively unexplored.
View Article and Find Full Text PDFPain and knee stiffness are common problems following total knee replacement surgery, with 10-20% of patients reporting dissatisfaction following their procedure. A remote assessment of knee stiffness could improve outcomes through continuous monitoring, facilitating timely intervention. Using machine learning algorithms, computer vision can extract joint angles from video footage, offering a method to monitor knee range of motion in patients' homes.
View Article and Find Full Text PDFThe presence of multiple pathologies is the largest predictor of dementia. A major gap in the field is the in vivo detection of mixed pathologies and their antecedents. The Alzheimer's Disease Research Centers (ADRCs) are uniquely positioned to address this gap.
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