Lipidoid-Coated Iron Oxide Nanoparticles for Efficient DNA and siRNA delivery

The safe, targeted and effective delivery of gene therapeutics remains a significant barrier to their broad clinical application. Here we develop a magnetic nucleic acid delivery system composed of iron oxide nanoparticles and cationic lipid-like materials termed lipidoids. Coated nanoparticles are capable of delivering DNA and siRNA to cells in culture. The mean hydrodynamic size of these nanoparticles was systematically varied and optimized for delivery. While nanoparticles of different sizes showed similar siRNA delivery efficiency, nanoparticles of 50–100 nm displayed optimal DNA delivery activity. The application of an external magnetic field significantly enhanced the efficiency of nucleic acid delivery, with performance exceeding that of the commercially available lipid-based reagent, Lipofectamine 2000. The iron oxide nanoparticle delivery platform developed here offers the potential for magnetically guided targeting, as well as an opportunity to combine gene therapy with MRI imaging and magnetic hyperthermia.National Heart, Lung, and Blood InstituteNational Institutes of Health (U.S.) (Program of Excellence in Nanotechnology (PEN) Award, Contract #HHSN268201000045C

Efficiency of siRNA delivery by lipid nanoparticles is limited by endocytic recycling

Despite substantial efforts to understand the interactions between nanoparticles and cells, the cellular processes that determine the efficiency of intracellular drug delivery remain largely unclear. Here we examined cellular uptake of siRNA delivered in lipid nanoparticles (LNPs) using cellular trafficking probes in combination with automated high-throughput confocal microscopy as well as defined perturbations of cellular pathways paired with systems biology approaches to uncover protein-protein and protein-small molecule interactions. We show that multiple cell signaling effectors are required for initial cellular entry of LNPs through macropinocytosis, including proton pumps, mTOR, and cathepsins. SiRNA delivery is substantially reduced as ≅70% of the internalized siRNA undergoes exocytosis through egress of LNPs from late endosomes/lysosomes. Niemann Pick type C1 (NPC1) is shown to be an important regulator of the major recycling pathways of LNP-delivered siRNAs. NPC1-deficient cells show enhanced cellular retention of LNPs inside late endosomes/lysosomes and increased gene silencing of the target gene. Our data suggests that siRNA delivery efficiency might be improved by designing delivery vehicles that can escape the recycling pathways

Whole-genome sequencing reveals host factors underlying critical COVID-19

Critical COVID-19 is caused by immune-mediated inflammatory lung injury. Host genetic variation influences the development of illness requiring critical care1 or hospitalization2–4 after infection with SARS-CoV-2. The GenOMICC (Genetics of Mortality in Critical Care) study enables the comparison of genomes from individuals who are critically ill with those of population controls to find underlying disease mechanisms. Here we use whole-genome sequencing in 7,491 critically ill individuals compared with 48,400 controls to discover and replicate 23 independent variants that significantly predispose to critical COVID-19. We identify 16 new independent associations, including variants within genes that are involved in interferon signalling (IL10RB and PLSCR1), leucocyte differentiation (BCL11A) and blood-type antigen secretor status (FUT2). Using transcriptome-wide association and colocalization to infer the effect of gene expression on disease severity, we find evidence that implicates multiple genes—including reduced expression of a membrane flippase (ATP11A), and increased expression of a mucin (MUC1)—in critical disease. Mendelian randomization provides evidence in support of causal roles for myeloid cell adhesion molecules (SELE, ICAM5 and CD209) and the coagulation factor F8, all of which are potentially druggable targets. Our results are broadly consistent with a multi-component model of COVID-19 pathophysiology, in which at least two distinct mechanisms can predispose to life-threatening disease: failure to control viral replication; or an enhanced tendency towards pulmonary inflammation and intravascular coagulation. We show that comparison between cases of critical illness and population controls is highly efficient for the detection of therapeutically relevant mechanisms of disease

Whole-genome sequencing reveals host factors underlying critical COVID-19

Critical COVID-19 is caused by immune-mediated inflammatory lung injury. Host genetic variation influences the development of illness requiring critical care1 or hospitalization2,3,4 after infection with SARS-CoV-2. The GenOMICC (Genetics of Mortality in Critical Care) study enables the comparison of genomes from individuals who are critically ill with those of population controls to find underlying disease mechanisms. Here we use whole-genome sequencing in 7,491 critically ill individuals compared with 48,400 controls to discover and replicate 23 independent variants that significantly predispose to critical COVID-19. We identify 16 new independent associations, including variants within genes that are involved in interferon signalling (IL10RB and PLSCR1), leucocyte differentiation (BCL11A) and blood-type antigen secretor status (FUT2). Using transcriptome-wide association and colocalization to infer the effect of gene expression on disease severity, we find evidence that implicates multiple genes—including reduced expression of a membrane flippase (ATP11A), and increased expression of a mucin (MUC1)—in critical disease. Mendelian randomization provides evidence in support of causal roles for myeloid cell adhesion molecules (SELE, ICAM5 and CD209) and the coagulation factor F8, all of which are potentially druggable targets. Our results are broadly consistent with a multi-component model of COVID-19 pathophysiology, in which at least two distinct mechanisms can predispose to life-threatening disease: failure to control viral replication; or an enhanced tendency towards pulmonary inflammation and intravascular coagulation. We show that comparison between cases of critical illness and population controls is highly efficient for the detection of therapeutically relevant mechanisms of disease

Pulmonary arterial hypertension in Saudi patients with systemic sclerosis: Clinical and hemodynamic characteristics and mortality

BACKGROUND: Pulmonary arterial hypertension (PAH) is a major cause of morbidity and mortality in patients with systemic sclerosis (SSc). The objective of this study is to describe the clinical characteristics, mortality, and predictors of SSc-PAH in Saudi patients. METHODS: Retrospective chart review study of SSc patients who were followed for at least 1 year in three tertiary care centers in Saudi Arabia was conducted. Clinical information, echocardiographic findings, and right heart catheterization (RHC) results were collected. Descriptive statistics were used for demographic and disease characteristics. RESULTS: Fifty-seven patients with SSc were reviewed. PAH was confirmed by RHC in 40 patients (87.5%, females). Their mean age was 45.43 ± 13.48 years. The mean pulmonary artery pressure was 42.9 ± 12.7 mmHg, the pulmonary vascular resistance index was 19.4 ± 7.7 woods unit, and cardiac index was 2.43 ± 0.68 min/m2. The median time from symptoms to first assessment was 42.8 ± 115.62 months. Most patients (77.5%) presented with functional Class III or IV and more than half (22.55%) were on dual combination therapy. Ten patients (25%) SSc PAH died over a follow up period of 37 ± 7 months. Compared to SSc patients without PAH, SSc-PAH patients had shorter 6-min walk distance (6MWD) (296.1 ± 116.5 vs. 399.59 ± 40.60 m, P < 0.0001), higher pro-brain natriuretic peptide (1755.8 ± 2123.4 vs. 69.8 ± 44.3 pg/ml P = 0.004), and more frequent Raynaud's phenomenon (RP) (90% vs. 35%, P < 0.0001). Logistic regression showed RP (odds ratio [OR] =48.58, 95% confidence interval [CI]; 3.73–633.10) and 6MWD (OR 1.02: 95% CI; 1.01–1.03) were associated with the development of PAH. CONCLUSION: Our cohort of Saudi SSc-PAH patients has a younger disease onset and a lower mortality than what is described worldwide despite late presentation and requirement of combination therapy. The presence of RP and lower were associated with the development of SSc-PAH

Niemann-Pick C1 Affects the Gene Delivery Efficacy of Degradable Polymeric Nanoparticles

Despite intensive research effort, the rational design of improved nanoparticulate drug carriers remains challenging, in part due to a limited understanding of the determinants of nanoparticle entry and transport in target cells. Recent studies have shown that Niemann-Pick C1 (NPC1), the lysosome membrane protein that mediates trafficking of cholesterol in cells, is involved in the endosomal escape and subsequent infection caused by filoviruses, and that its absence promotes the retention and efficacy of lipid nanoparticles encapsulating siRNA. Here, we report that NPC1 deficiency results in dramatic reduction in internalization and transfection efficiency mediated by degradable cationic gene delivery polymers, poly(β-amino ester)s (PBAEs). PBAEs utilized cholesterol and dynamin-dependent endocytosis pathways, and these were found to be heavily compromised in NPC1-deficient cells. In contrast, the absence of NPC1 had minor effects on DNA uptake mediated by polyethylenimine or Lipofectamine 2000. Strikingly, stable overexpression of human NPC1 in chinese hamster ovary cells was associated with enhanced gene uptake (3-fold) and transfection (10-fold) by PBAEs. These findings reveal a role of NPC1 in the regulation of endocytic mechanisms affecting nanoparticle trafficking. We hypothesize that in-depth understanding sites of entry and endosomal escape may lead to highly efficient nanotechnologies for drug delivery