Introduction: The Brisbane Burn Scar Impact Profile (BBSIP) and the Patient and Observer Scar Assessment Scale (POSAS) are used in burn scar assessment to quantify patient health-related quality of life (HR-QoL). These questionnaires were developed using pen-and-paper delivery methods; however, there is a push towards electronic delivery of these questionnaires in both clinical practice and research. Equivalence testing is required to ensure that validity of these paper questionnaires is maintained electronically.
View Article and Find Full Text PDFStudy Question: How can we best achieve tissue segmentation and cell counting of multichannel-stained endometriosis sections to understand tissue composition?
Summary Answer: A combination of a machine learning-based tissue analysis software for tissue segmentation and a deep learning-based algorithm for segmentation-independent cell identification shows strong performance on the automated histological analysis of endometriosis sections.
What Is Known Already: Endometriosis is characterized by the complex interplay of various cell types and exhibits great variation between patients and endometriosis subtypes.
Study Design, Size, Duration: Endometriosis tissue samples of eight patients of different subtypes were obtained during surgery.
Similar to the mammalian hepatocytes, oenocytes accumulate fat during fasting, but it is unclear how they communicate with the fat body, the major lipid source. Using a modified protocol for prolonged starvation, we show that knockdown (KD) of the sole delta 9 desaturase, Desat1 (SCD in mammals), specifically in oenocytes leads to more saturated lipids in the hemolymph and reduced triacylglycerol (TAG) storage in the fat body. Additionally, oenocytes with KD exhibited an accumulation of lipoproteins and actin filaments at the cortex, which decreased lipoproteins in the hemolymph.
View Article and Find Full Text PDFNat Rev Immunol
December 2024