-
Andreasen Werner posted an update a month ago
The right leg had mild pitting edema. There were numerous verrucous folds and cobblestone-like nodules, and plaques and a painless ulcer on the left leg. Laboratory evaluation demonstrated an elevated B-type natriuretic peptide. BMS309403 inhibitor He was treated with compression stockings and inelastic multi-layer bandaging and was administered limb decongestive treatment. After 1 week of therapy, his swelling had somewhat improved. CONCLUSIONS Various conditions can cause ENV and it can superimpose on any form of hereditary lymphedema. The most effective strategy for this condition seems to be a thorough workup of the underlying cause of the ENV and early intervention.
Erythropoiesis is a hierarchical process by which hematopoietic stem cells give rise to red blood cells through gradual cell fate restriction and maturation. Deciphering this process requires the establishment of dynamic gene regulatory networks (GRNs) that predict the response of hematopoietic cells to signals from the environment. Although GRNs have historically been derived from transcriptomic data, recent proteomic studies have revealed a major role for posttranscriptional mechanisms in regulating gene expression during erythropoiesis. These new findings highlight the need to integrate proteomic data into GRNs for a refined understanding of erythropoiesis.
Here, we review recent proteomic studies that have furthered our understanding of erythropoiesis with a focus on quantitative mass spectrometry approaches to measure the abundance of transcription factors and cofactors during differentiation. Furthermore, we highlight challenges that remain in integrating transcriptomic, proteomic, and other omics data into a predictive model of erythropoiesis, and discuss the future prospect of single-cell proteomics.
Recent proteomic studies have considerably expanded our knowledge of erythropoiesis beyond the traditional transcriptomic-centric perspective. These findings have both opened up new avenues of research to increase our understanding of erythroid differentiation, while at the same time presenting new challenges in integrating multiple layers of information into a comprehensive gene regulatory model.
Recent proteomic studies have considerably expanded our knowledge of erythropoiesis beyond the traditional transcriptomic-centric perspective. These findings have both opened up new avenues of research to increase our understanding of erythroid differentiation, while at the same time presenting new challenges in integrating multiple layers of information into a comprehensive gene regulatory model.
The zebrafish embryo has emerged as a powerful model organism to investigate the mechanisms by which biophysical forces regulate vascular and cardiac cell biology during development and disease. A versatile arsenal of methods and tools is available to manipulate and analyze biomechanical signaling. This review aims to provide an overview of the experimental strategies and tools that have been utilized to study biomechanical signaling in cardiovascular developmental processes and different vascular disease models in the zebrafish embryo. Within the scope of this review, we focus on work published during the last two years.
Genetic and pharmacological tools for the manipulation of cardiac function allow alterations of hemodynamic flow patterns in the zebrafish embryo and various types of transgenic lines are available to report endothelial cell responses to biophysical forces. These tools have not only revealed the impact of biophysical forces on cardiovascular development but also helped to establish more pact of biophysical forces in cardiovascular pathologies.
Single-cell RNA sequencing (scRNA-seq) can capture the transcriptional profile of thousands of individual cells concurrently from complex tissues and with remarkable resolution. Either with the goal of seeking information about distinct cell subtypes or responses to a stimulus, the approach has provided robust information and promoted impressive advances in cardiovascular research. The goal of this review is to highlight strategies and approaches to leverage this technology and bypass potential caveats related to evaluation of the vascular cells.
As the most recent technological development, details associated with experimental strategies, analysis, and interpretation of scRNA-seq data are still being discussed and scrutinized by investigators across the vascular field. Compilation of this information is valuable for those using the technology but particularly important to those about to start utilizing scRNA-seq to seek transcriptome information of vascular cells.
As our field progresses to catalog transcriptomes from distinct vascular beds, it is undeniable that scRNA-seq technology is here to stay. Sharing approaches to improve the quality of cell dissociation procedures, analysis, and a consensus of best practices is critical as information from this powerful experimental platform continues to emerge.
As our field progresses to catalog transcriptomes from distinct vascular beds, it is undeniable that scRNA-seq technology is here to stay. Sharing approaches to improve the quality of cell dissociation procedures, analysis, and a consensus of best practices is critical as information from this powerful experimental platform continues to emerge.
The aim of this study was to describe decisions about the escalation and withdrawal of treatment for patients on extracorporeal membrane oxygenation (ECMO).
Interventions premised on facilitating patient autonomy have proven problematic in guiding treatment decisions in intensive care units (ICUs). Calls have thus been made to better understand how decisions are made in critical care. ECMO is an important form of cardiac and respiratory support, but care on ECMO is characterized by prognostic uncertainty, varying time course, and high resource use. It remains unclear how decisions about treatment escalation and withdrawal should be made for patients on ECMO and what role families should play in these decisions.
We performed a focused ethnography in 2 cardiothoracic ICUs in 2 US academic hospitals. We conducted 380 hours of observation, 34 weekly interviews with families of 20 ECMO patients, and 13 interviews with unit clinicians from January to September 2018. Qualitative analysis used an iterative coding process.