Monocyte-derived S1P in the lymph node regulates immune responses.

The lipid chemoattractant sphingosine 1-phosphate (S1P) guides cells out of tissues, where the concentration of S1P is relatively low, into circulatory fluids, where the concentration of S1P is high1. For example, S1P directs the exit of T cells from lymph nodes, where T cells are initially activated, into lymph, from which T cells reach the blood and ultimately inflamed tissues1. T cells follow S1P gradients primarily using S1P receptor 1 (ref. 1). Recent studies have described how S1P gradients are established at steady state, but little is known about the distribution of S1P in disease or about how changing levels of S1P may affect immune responses. Here we show that the concentration of S1P increases in lymph nodes during an immune response. We found that haematopoietic cells, including inflammatory monocytes, were an important source of this S1P, which was an unexpected finding as endothelial cells provide S1P to lymph1. Inflammatory monocytes required the early activation marker CD69 to supply this S1P, in part because the expression of CD69 was associated with reduced levels of S1pr5 (which encodes S1P receptor 5). CD69 acted as a 'stand-your-ground' signal, keeping immune cells at a site of inflammation by regulating both the receptors and the gradients of S1P. Finally, increased levels of S1P prolonged the residence time of T cells in the lymph nodes and exacerbated the severity of experimental autoimmune encephalomyelitis in mice. This finding suggests that residence time in the lymph nodes might regulate the differentiation of T cells, and points to new uses of drugs that target S1P signalling.

In utero delivery of targeted ionizable lipid nanoparticles facilitates in vivo gene editing of hematopoietic stem cells.

Monogenic blood diseases are among the most common genetic disorders worldwide. These diseases result in significant pediatric and adult morbidity, and some can result in death prior to birth. Novel ex vivo hematopoietic stem cell (HSC) gene editing therapies hold tremendous promise to alter the therapeutic landscape but are not without potential limitations. In vivo gene editing therapies offer a potentially safer and more accessible treatment for these diseases but are hindered by a lack of delivery vectors targeting HSCs, which reside in the difficult-to-access bone marrow niche. Here, we propose that this biological barrier can be overcome by taking advantage of HSC residence in the easily accessible liver during fetal development. To facilitate the delivery of gene editing cargo to fetal HSCs, we developed an ionizable lipid nanoparticle (LNP) platform targeting the CD45 receptor on the surface of HSCs. After validating that targeted LNPs improved messenger ribonucleic acid (mRNA) delivery to hematopoietic lineage cells via a CD45-specific mechanism in vitro, we demonstrated that this platform mediated safe, potent, and long-term gene modulation of HSCs in vivo in multiple mouse models. We further optimized this LNP platform in vitro to encapsulate and deliver CRISPR-based nucleic acid cargos. Finally, we showed that optimized and targeted LNPs enhanced gene editing at a proof-of-concept locus in fetal HSCs after a single in utero intravenous injection. By targeting HSCs in vivo during fetal development, our Systematically optimized Targeted Editing Machinery (STEM) LNPs may provide a translatable strategy to treat monogenic blood diseases before birth.

Early detection of SARS-CoV-2 and other infections in solid organ transplant recipients and household members using wearable devices.

The increasing global prevalence of SARS-CoV-2 and the resulting COVID-19 disease pandemic pose significant concerns for clinical management of solid organ transplant recipients (SOTR). Wearable devices that can measure physiologic changes in biometrics including heart rate, heart rate variability, body temperature, respiratory, activity (such as steps taken per day) and sleep patterns, and blood oxygen saturation show utility for the early detection of infection before clinical presentation of symptoms. Recent algorithms developed using preliminary wearable datasets show that SARS-CoV-2 is detectable before clinical symptoms in >80% of adults. Early detection of SARS-CoV-2, influenza, and other pathogens in SOTR, and their household members, could facilitate early interventions such as self-isolation and early clinical management of relevant infection(s). Ongoing studies testing the utility of wearable devices such as smartwatches for early detection of SARS-CoV-2 and other infections in the general population are reviewed here, along with the practical challenges to implementing these processes at scale in pediatric and adult SOTR, and their household members. The resources and logistics, including transplant-specific analyses pipelines to account for confounders such as polypharmacy and comorbidities, required in studies of pediatric and adult SOTR for the robust early detection of SARS-CoV-2, and other infections are also reviewed.