Deep Neural Network-Based Method for Detecting Obstructive Meibomian Gland Dysfunction With in Vivo Laser Confocal Microscopy.

Purpose: To evaluate the ability of deep learning (DL) models to detect obstructive meibomian gland dysfunction (MGD) using in vivo laser confocal microscopy images.

Methods: For this study, we included 137 images from 137 individuals with obstructive MGD (mean age, 49.9 ± 17.

Hypothermia-induced tyrosine phosphorylation of SIRPα in the brain.

Signal regulatory protein α (SIRPα) is a neuronal membrane protein that undergoes tyrosine phosphorylation in the brain of mice in response to forced swim (FS) stress in cold water, and this response is implicated in regulation of depression-like behavior in the FS test. We now show that subjection of mice to the FS in warm (37 °C) water does not induce the tyrosine phosphorylation of SIRPα in the brain. The rectal temperature (T(rec) ) of mice was reduced to 27° to 30 °C by performance of the FS for 10 min in cold water, whereas it was not affected by the same treatment in warm water.

Stress-evoked tyrosine phosphorylation of signal regulatory protein α regulates behavioral immobility in the forced swim test.

Severe stress induces changes in neuronal function that are implicated in stress-related disorders such as depression. The molecular mechanisms underlying the response of the brain to stress remain primarily unknown, however. Signal regulatory protein alpha (SIRPalpha) is an Ig-superfamily protein that undergoes tyrosine phosphorylation and binds the protein tyrosine phosphatase Shp2.