Injured epithelial organs must rapidly replace damaged cells to restore barrier integrity and physiological function. In response, injury-born stem cell progeny differentiate faster compared to healthy-born counterparts, yet the mechanisms that pace differentia-tion are unclear. Using the adult Drosophila intestine, we find that injury speeds cell differentiation by altering the lateral inhibition circuit that transduces a fate-determin-ing Notch signal.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
Osteoporosis is the most common systemic skeletal disorder, particularly associated with aging and postmenopausal women. With the growing knowledge about the gut-bone axis, the therapeutic strategies for osteoporosis have been shifted toward regulating gut microbiota to promote positive bone metabolism. Although GG (LGG) is widely reported to positively regulate bone metabolism by restoring the dysbiotic microbiome, oral administration is associated with sensitivity to gastric fluid and low bioavailability.
View Article and Find Full Text PDFIncreasing droughts adversely affect grasslands, diminishing the availability and quality of forages for ruminants. We have recently shown that mixed ensiling of drought-impaired grass (DIG) with sugar beet pulp (SBP) improved the conservation and feed value of silage. The application of silage additives may further improve the ruminal degradability, which may thereby shape the fermentation and microbiome in the rumen when those silages are tested as part of dairy diets.
View Article and Find Full Text PDFBackground: Pulmonary fibrosis (PF) is a common and multidimensional devastating interstitial lung disease. The development of novel and more effective interventions for PF is an urgent clinical need. A previous study has found that miR-181a-5p plays an important role in the development of PF, and human amniotic mesenchymal stem cells (hAMSCs) exert potent therapeutic potential on PF.
View Article and Find Full Text PDFBackground: Prior studies have demonstrated an association between retinal vascular features and cardiovascular disease (CVD), however most studies have only evaluated a few simple parameters at a time. Our aim was to determine whether a deep-learning artificial intelligence (AI) model could be used to predict CVD outcomes from routinely obtained diabetic retinal screening photographs and to compare its performance to a traditional clinical CVD risk score.
Methods: We included 6127 individuals with type 2 diabetes without myocardial infarction or stroke prior to study entry.