Cellular transfection using rapid decrease in hydrostatic pressure.

Of all methods exercised in modern molecular biology, modification of cellular properties through the introduction or removal of nucleic acids is one of the most fundamental. As such, several methods have arisen to promote this process; these include the condensation of nucleic acids with calcium, polyethylenimine or modified lipids, electroporation, viral production, biolistics, and microinjection. An ideal transfection method would be (1) low cost, (2) exhibit high levels of biological safety, (3) offer improved efficacy over existing methods, (4) lack requirements for ongoing consumables, (5) work efficiently at any scale, (6) work efficiently on cells that are difficult to transfect by other methods, and (7) be capable of utilizing the widest array of existing genetic resources to facilitate its utility in research, biotechnical and clinical settings. To address such issues, we describe here Pressure-jump-poration (PJP), a method using rapid depressurization to transfect even difficult to modify primary cell types such as embryonic stem cells. The results demonstrate that PJP can be used to introduce an array of genetic modifiers in a safe, sterile manner. Finally, PJP-induced transfection in primary versus transformed cells reveals a surprising dichotomy between these classes which may provide further insight into the process of cellular transformation.

The promise of machine learning applications in solid organ transplantation.

Solid-organ transplantation is a life-saving treatment for end-stage organ disease in highly selected patients. Alongside the tremendous progress in the last several decades, new challenges have emerged. The growing disparity between organ demand and supply requires optimal patient/donor selection and matching. Improvements in long-term graft and patient survival require data-driven diagnosis and management of post-transplant complications. The growing abundance of clinical, genetic, radiologic, and metabolic data in transplantation has led to increasing interest in applying machine-learning (ML) tools that can uncover hidden patterns in large datasets. ML algorithms have been applied in predictive modeling of waitlist mortality, donor-recipient matching, survival prediction, post-transplant complications diagnosis, and prediction, aiming to optimize immunosuppression and management. In this review, we provide insight into the various applications of ML in transplant medicine, why these were used to evaluate a specific clinical question, and the potential of ML to transform the care of transplant recipients. 36 articles were selected after a comprehensive search of the following databases: Ovid MEDLINE; Ovid MEDLINE Epub Ahead of Print and In-Process & Other Non-Indexed Citations; Ovid Embase; Cochrane Database of Systematic Reviews (Ovid); and Cochrane Central Register of Controlled Trials (Ovid). In summary, these studies showed that ML techniques hold great potential to improve the outcome of transplant recipients. Future work is required to improve the interpretability of these algorithms, ensure generalizability through larger-scale external validation, and establishment of infrastructure to permit clinical integration.

Breastfeeding duration is positively associated with decreased smoking relapse in the postpartum period.

INTRODUCTION: A significant proportion of women quit smoking during pregnancy, creating a unique window of opportunity to encourage long-term smoking cessation. Efforts to prevent smoking relapse in the postpartum period, however, have largely been ineffective. We investigated the association between breastfeeding duration and smoking relapse to help inform postpartum smoking cessation strategies. METHODS: The Ulm SPATZ Health Study consists of 1006 newborns and their 970 mothers recruited from April 2012 to May 2013 in Ulm, Germany. For this analysis, only mothers who quit smoking during pregnancy, for whom breastfeeding and smoking data were available, were included. Kaplan-Meier plots were used to investigate the relationship between breastfeeding duration and postpartum smoking relapse within 2 years. Cox proportional hazards regression models were used to estimate hazard ratios, adjusted for factors reported to influence postpartum smoking outcomes. RESULTS: A total of 115 mothers were included. They had a mean age of 32.0 (SD: 5.0) years and breastfed for 5.6 (SD: 4.4) months. Of those who remained in the study, 14 (12.2%) experienced smoking relapse by 6 weeks and 48 (51.1%) relapsed by 2 years. In an adjusted analysis which accounted for age, educational attainment, postpartum weight retention, and gestational weight gain, breastfeeding for at least 6 months was significantly associated with decreased smoking relapse within 2 years (HR: 0.18; 95% CI: 0.07 - 0.45). CONCLUSIONS: Breastfeeding for at least 6 months was associated with decreased postpartum smoking relapse. Breastfeeding promotion should be considered to enhance smoking cessation strategies in the postpartum period.

Endothelin-1-mediated cerebral ischemia in mice: early cellular events and the role of caspase-3.

Over the past 30 years a number of animal models of cerebral ischemic injury have been developed. Middle cerebral artery occlusion (MCAO) in particular reproduces both ischemic and reperfusion elements and is widely utilized as a model of ischemic stroke in rodents. However substantial variability exists in this model even in clonal inbred mice due to stochastic elements of the cerebral vasculature. Models such as MCAO thus exhibit significant irreducible variabilities with respect to their zone of injury as well as inducing a sizable volume of injury to the cerebrum with damage to sub-cortical structures, conditions not typically seen for the majority of human clinical strokes. An alternative model utilizes endothelin-1 application focally to cerebral vasculature, resulting in an ischemic reperfusion injury which more closely mimics that seen in human clinical stroke. In order to further define this model we demonstrate that intra-cortical administration of ET-1 results in a highly reproducible pattern of tissue injury which is limited to the cerebral cortex, characterizing the early cellular and molecular events which occur during the first 24 h post-injury. In addition we demonstrate that caspase-3 is both necessary and sufficient to regulate a majority of cortical cell death observed during this period. The enhanced survival effects seen upon genetic deletion of caspase-3 appear to arise as a result of direct modification of cell autonomous PCD signaling as opposed to secondary effectors such as granulocyte infiltration or microglia activation. Taken together these findings detail the early mechanistic features regulating endothelin-1-mediated ischemic injury.