Exploring the subtle and novel renal pathological changes in diabetic nephropathy using clustering analysis with deep learning.

To decrease the number of chronic kidney disease (CKD), early diagnosis of diabetic kidney disease is required. We performed invariant information clustering (IIC)-based clustering on glomerular images obtained from nephrectomized kidneys of patients with and without diabetes. We also used visualizing techniques (gradient-weighted class activation mapping (Grad-CAM) and generative adversarial networks (GAN)) to identify the novel and early pathological changes on light microscopy in diabetic nephropathy.

Behaviour-based dependency networks between places shape urban economic resilience.

Disruptions, such as closures of businesses during pandemics, not only affect businesses and amenities directly but also influence how people move, spreading the impact to other businesses and increasing the overall economic shock. However, it is unclear how much businesses depend on each other during disruptions. Leveraging human mobility data and same-day visits in five US cities, we quantify dependencies between points of interest encompassing businesses, stores and amenities.

Decreased Brain pH Underlies Behavioral and Brain Abnormalities Induced by Chronic Exposure to Glucocorticoids in Mice.

Depressed patients may exhibit glucocorticoid hypersecretion, suggesting that elevated levels of glucocorticoids may play an important role in the pathophysiology of depression. Some postmortem brain studies have shown decreased pH and increased lactate levels in psychiatric patients, implying involvement of these factors in the pathogenesis. To investigate the effects of glucocorticoids on brain pH and lactate levels, and their roles in depressive symptoms, brain pH and lactate were examined in mice treated with corticosterone (CORT), the major bioactive glucocorticoid in rodents.