Predicting the microalgae lipid profile obtained by supercritical fluid extraction using a machine learning model.

In this study a Machine Learning model was employed to predict the lipid profile from supercritical fluid extraction (SFE) of microalgae sp. USBA-GBX-832 under different temperature (40, 50, 60°C), pressure (150, 250 bar), and ethanol flow (0.6, 0.

A multicenter study of the risk of major bleeding in patients with and without cirrhosis undergoing percutaneous liver procedures.

Percutaneous liver procedures are frequently performed in patients with abnormal coagulation tests. Current guidelines suggest prophylactic transfusion is not mandatory in all patients with liver disease or cirrhosis, depending on the risk of bleeding. This study aims to describe the incidence and risk of major bleeding after percutaneous liver procedure in patients with and without cirrhosis.

Using a decision tree to predict the number of COVID cases: a tutorial for beginners.

This manuscript describes the development of a module that is part of a learning platform named "NIGMS Sandbox for Cloud-based Learning" https://github.com/NIGMS/NIGMS-Sandbox . The overall genesis of the Sandbox is described in the editorial NIGMS Sandbox at the beginning of this Supplement.

Development of paediatric critical care in northwestern Nigeria: Initial implementation with a needs assessment model.

Introduction: There is high paediatric morbidity and mortality in northwestern Nigeria, attributable in part to vaccine-preventable illnesses and lack of comprehensive training of medical and nursing staff in the healthcare delivery of paediatric critical care. Pediatric Universal Life-Saving Effort Inc. (PULSE), a New York-based nonprofit organisation with a mission to develop paediatric critical care in resource-limited settings, collaborated with Aminu Kano University Teaching Hospital to decrease the gaps in knowledge and skills of medical and nursing personnel.

Prolactin enhances T regulatory cell promotion of breast cancer through the long form prolactin receptor.

Previous work has shown systemic knockdown of the long form prolactin receptor (LFPRLR) in vivo markedly reduced metastasis in mouse models of breast cancer, but whether this translated to prolonged survival was unknown. Here we show that LFPRLR knockdown in the highly metastatic, immunocompetent 4T1 model prolonged survival and reduced recruitment of T regulatory cells (Tregs) to the tumor through effects on the production of CCL17. For the Tregs still recruited to the primary tumor, LFPRLR knockdown both directly and indirectly reduced their ability to promote tumor parenchymal epithelial to mesenchymal transition.

Sex Differences in the Immune System Become Evident in the Perinatal Period in the Four Core Genotypes Mouse.

We have used the four core genotypes (FCG) mouse model, which allows a distinction between effects of gonadal secretions and chromosomal complement, to determine when sex differences in the immune system first appear and what influences their development. Using splenic T cell number as a measure that could be applied to neonates with as yet immature immune responses, we found no differences among the four genotypes at postnatal day 1, but by day 7, clear sex differences were observed. These sex differences were unexpectedly independent of chromosomal complement and similar in degree to gonadectomized FCG adults: both neonatal and gonadectomized adult females (XX and XY) showed 2-fold the number of CD4+ and 7-fold the number of CD8+ T cells their male (XX and XY) counterparts.

Anti-metastatic outcome of isoform-specific prolactin receptor targeting in breast cancer.

Controversy exists concerning the role of the long prolactin receptor (PRLR) in the progression of breast cancer. By targeting pre-mRNA splicing, we succeeded in knocking down only the long PRLR in vivo, leaving the short forms unaffected. Using two orthotopic and highly-metastatic models of breast cancer, one of which was syngeneic (mouse 4T1) to allow assessment of tumor-immune interactions and one of which was endocrinologically humanized (human BT-474) to activate human PRLRs, we examined the effect of long PRLR knockdown on disease progression.