Transient Neonatal Hypocortisolism in Neonates with Hypoglycemia - Coexistence or Cause?

Introduction: Infants born preterm, with low birth weight (LBW), or with perinatal stress are at high risk for neonatal hypoglycemia. Low cortisol levels have also been demonstrated in this group of neonates, which is often transient. We report a series of neonates with transient hypocortisolism who had neonatal hypoglycemia. Methods: A descriptive study on clinic-biochemical parameters of a group of five neonates who had persistent neonatal hypoglycemia and had demonstrated low cortisol on critical sample testing. Results: All five neonates had birth weights below normal and four were born preterm. A history of perinatal asphyxia was seen in four cases and neonatal sepsis in two. During critical sample testing (when blood glucose [BG] was <50 mg/dl), hyperinsulinism (Insulin >2 mIU/ml) was seen in three infants whereas insulin was undetectable in two. The median cortisol during critical sample testing was 1.9 mcg/dl (0.88 - 3.7). Critical GH was normal in all, and ACTH ranged from 7.2 pg/ml to 41.3 pg/ml. None of the infants had overt clinical features of panhypopituitarism or primary adrenal insufficiency. USG brain revealed germinal matrix hemorrhage in two infants, which resolved on follow-up. USG adrenals and electrolytes were normal in all. Four of the five babies were started on oral hydrocortisone, to which they responded well with the resolution of hypoglycemia. No adverse events were noted. On follow-up, the median time to recover of serum cortisol to normal was 4 months. Conclusion: The contribution of transient hypocortisolism to hypoglycemia in infants at risk, including preterm, LBW, or those with perinatal stress, in the presence or absence of hyperinsulinism, is not well known. While the non-specific use of glucocorticoids is not advocated, the role of therapeutic glucocorticoids among at-risk neonates with documented hypocortisolism during hypoglycemia should be an area for research. Close follow-up of these neonates for spontaneous recovery of cortisol levels is warranted.

Energy Transfer Mechanisms during Molecular Delivery to Cells by Laser-Activated Carbon Nanoparticles.

Previous studies have shown that exposure of carbon black nanoparticles to nanosecond pulsed near-infrared laser causes intracellular delivery of molecules through hypothesized transient breaks in the cell membrane. The goal of this study is to determine the underlying mechanisms of sequential energy transfer from laser light to nanoparticle to fluid medium to cell. We found that laser pulses on a timescale of 10 ns rapidly heat carbon nanoparticles to temperatures on the order of 1200 K. Heat is transferred from the nanoparticles to the surrounding aqueous medium on a similar timescale, causing vaporization of the surrounding water and generation of acoustic emissions. Nearby cells can be impacted thermally by the hot bubbles and mechanically by fluid mechanical forces to transiently increase cell membrane permeability. The experimental and theoretical results indicate that transfer of momentum and/or heat from the bubbles to the cells are the dominant mechanisms of energy transfer that results in intracellular uptake of molecules. We further conclude that neither thermal expansion of the nanoparticles nor a carbon-steam chemical reaction play a significant role in the observed effects on cells, and that acoustic pressure appears to be concurrent with, but not essential to, the observed bioeffects.

Delivery of siRNA to ovarian cancer cells using laser-activated carbon nanoparticles.

AIM: The RNAi-mediated knockdown of gene expression is an attractive tool for research and therapeutic purposes but its implementation is challenging. Here we report on a new method based on photoacoustic delivery of siRNA developed to address some of these challenges. MATERIALS & METHODS: Physical properties and photoacoustic emission of carbon black (CB) particles upon near-infrared laser irradiation were characterized. Next, ovarian cancer cells Hey A8-F8 were exposed to near-infrared nanosecond laser pulses in the presence of siRNA targeting EGFR gene and CB particles. The intracellular delivery of siRNA and silencing of the target gene were determined by specific qPCR assays. RESULTS & CONCLUSION: Laser-activated CB nanoparticles generated photoacoustic emission and enabled intracellular delivery of siRNA and significant knockdown of its target EGFR mRNA. This physical method represents a new promising approach to targeted therapeutic delivery of siRNA.

Poloxamer surfactant preserves cell viability during photoacoustic delivery of molecules into cells.

Efficient intracellular delivery of molecules is needed to modulate cellular behavior for laboratory and medical applications, but is often limited by trade-offs between achieving high intracellular delivery and maintaining high cell viability. Here, we studied photoacoustic delivery of molecules into cells by exposing DU145 human prostate carcinoma cells to nanosecond laser pulses in the presence of carbon black nanoparticles. Under strong laser exposure conditions, less than 30% of cells were viable and exhibited uptake. Addition of poloxamer surfactant at those laser exposure conditions increased cell viability to almost 90%, with intracellular uptake in >80% of cells. This remarkable increase in efficiency of intracellular delivery and cell viability may be attributed to enhanced cell membrane resealing by poloxamer surfactant after photoacoustic delivery. While F-68 poloxamer was effective, the larger, more-hydrophobic F-127 poloxamer provided the best results. There was no significant protective effect from addition of Ca(2+) , BAPTA-AM, ATP, fetal bovine serum or glycine betaine, which were expected to promote active cell membrane repair mechanisms and other active intracellular protective processes. We conclude that poloxamer surfactant preserves cell viability during photoacoustic delivery of molecules into cells, thereby enabling highly efficient intracellular delivery.

Efficient intracellular delivery of molecules with high cell viability using nanosecond-pulsed laser-activated carbon nanoparticles.

Conventional physical and chemical methods that efficiently deliver molecules into cells are often associated with low cell viability. In this study, we evaluated the cellular effects of carbon nanoparticles believed to emit photoacoustic waves due to nanosecond-pulse laser activation to test the hypothesis that this method could achieve efficient intracellular delivery while maintaining high cell viability. Suspensions of DU145 human prostate carcinoma cells, carbon black (CB) nanoparticles, and calcein were exposed to 5-9 ns long laser pulses of near-infrared (1064 nm wavelength) light and then analyzed by flow cytometry for intracellular uptake of calcein and cell viability by propidium iodide staining. We found that intracellular uptake increased and in some cases saturated at high levels with only small losses in cell viability as a result of increasing laser fluence, laser exposure time, and as a unifying parameter, the total laser energy. Changing interpulse spacing between 0.1 and 10 s intervals showed no significant change in bioeffects, suggesting that the effects of each pulse were independent when spaced by at least 0.1 s intervals. Pretreatment of CB nanoparticles to intense laser exposure followed by mixing with cells also had no significant effect on uptake or viability. Similar uptake and viability were seen when CB nanoparticles were substituted with India ink, when DU145 cells were substituted with H9c2 rat cardiomyoblast cells, and when calcein was substituted with FITC-dextran. The best laser exposure conditions tested led to 88% of cells with intracellular uptake and close to 100% viability, indicating that nanosecond-pulse laser-activated carbon nanoparticles can achieve efficient intracellular delivery while maintaining high cell viability.

Modelling dendritic ecological networks in space: an integrated network perspective.

Dendritic ecological networks (DENs) are a unique form of ecological networks that exhibit a dendritic network topology (e.g. stream and cave networks or plant architecture). DENs have a dual spatial representation; as points within the network and as points in geographical space. Consequently, some analytical methods used to quantify relationships in other types of ecological networks, or in 2-D space, may be inadequate for studying the influence of structure and connectivity on ecological processes within DENs. We propose a conceptual taxonomy of network analysis methods that account for DEN characteristics to varying degrees and provide a synthesis of the different approaches within the context of stream ecology. Within this context, we summarise the key innovations of a new family of spatial statistical models that describe spatial relationships in DENs. Finally, we discuss how different network analyses may be combined to address more complex and novel research questions. While our main focus is streams, the taxonomy of network analyses is also relevant anywhere spatial patterns in both network and 2-D space can be used to explore the influence of multi-scale processes on biota and their habitat (e.g. plant morphology and pest infestation, or preferential migration along stream or road corridors).

Accounting for location error in Kalman filters: integrating animal borne sensor data into assimilation schemes.

Data assimilation is a crucial aspect of modern oceanography. It allows the future forecasting and backward smoothing of ocean state from the noisy observations. Statistical methods are employed to perform these tasks and are often based on or related to the Kalman filter. Typically Kalman filters assumes that the locations associated with observations are known with certainty. This is reasonable for typical oceanographic measurement methods. Recently, however an alternative and abundant source of data comes from the deployment of ocean sensors on marine animals. This source of data has some attractive properties: unlike traditional oceanographic collection platforms, it is relatively cheap to collect, plentiful, has multiple scientific uses and users, and samples areas of the ocean that are often difficult of costly to sample. However, inherent uncertainty in the location of the observations is a barrier to full utilisation of animal-borne sensor data in data-assimilation schemes. In this article we examine this issue and suggest a simple approximation to explicitly incorporate the location uncertainty, while staying in the scope of Kalman-filter-like methods. The approximation stems from a Taylor-series approximation to elements of the updating equation.