Changes In Diffusion Behavior Research Articles

Greater Diffusion Restriction in White Matter in Preclinical Alzheimer Disease.

The Alzheimer's continuum is biologically defined by beta-amyloid deposition, which at the earliest stages is superimposed upon white matter degeneration in aging. However, the extent to which these co-occurring changes is characterized is relatively underexplored. The goal of this study was to use diffusional kurtosis imaging (DKI) and biophysical modeling to detect and describe amyloid-related white matter changes in preclinical Alzheimer disease. Cognitively unimpaired participants ages 45 to 85 years completed brain magnetic resonance imaging, amyloid positron emission tomography (florbetapir), neuropsychological testing, and other clinical measures at baseline in a cohort study. We tested whether beta-amyloid-negative (AB-) and -positive (AB+) participants differed on DKI-based conventional (ie, fractional anisotropy [FA], mean diffusivity [MD], mean kurtosis) and modeling (ie, axonal water fraction [AWF], extra-axonal radial diffusivity [De,⊥ ]) metrics, and whether these metrics were associated with other biomarkers. We found significantly greater diffusion restriction (higher FA/AWF, lower MD/De,⊥ ) in white matter in AB+ than AB- (partial η2 =0.08-0.19), more notably in the extra-axonal space within primarily late myelinating tracts. Diffusion metrics predicted amyloid status incrementally over age (area under the curve=0.84) with modest yet selective associations, where AWF (a marker of axonal density) correlated with speed/executive functions and neurodegeneration, whereas De,⊥ (a marker of gliosis/myelin repair) correlated with amyloid deposition and white matter hyperintensity volume. These results support prior evidence of a nonmonotonic change in diffusion behavior, where an early increase in diffusion restriction is hypothesized to reflect inflammation and myelin repair prior to an ensuing decrease in diffusion restriction, indicating glial and neuronal degeneration. ANN NEUROL 2022;91:864-877.

Mathematical Model for Estimating Parameters of Swelling Drug Delivery Devices in a Two-Phase Release.

Various swelling drug delivery devices are promising materials for control drug delivery because of their ability to swell and release entrapped therapeutics, in response to physiological stimuli. Previously, many mathematical models have been developed to predict the mechanism of drug release from a swelling device. However, some of these models do not consider the changes in diffusion behaviour as the device swells. Therefore, we used a two-phase approach to simplify the mathematical model considering the effect of swelling on the diffusion coefficient. We began by defining a moving boundary problem to consider the swelling process. Landau transformation was used for mitigating the moving boundary problem. The transformed problem was analytically solved using the separation of variables method. Further, the analytical solution was extended to include the drug release in two phases where each phase has distinct diffusion coefficient and continuity condition was applied. The newly developed model was validated by the experimental data of bacterial cellulose hydrogels using the LSQCURVEFIT function in MATLAB. The numerical test showed that the new model exhibited notable improvement in curve fitting, and it was observed that the initial effective diffusion coefficient of the swelling device was lower than the later effective diffusion coefficient.

Surface roughening transition induced by phase transformation in hafnium nitride films

Although surface roughening of films holds an important role in determining the final surface morphologies and properties, how to control it is not yet well explored. Here, we report that the surface roughening of hafnium nitride films varies significantly as a stoichiometry-driven phase transformation takes place. Through a combination of surface morphological measurements and simulations, we demonstrate that the variation of roughening mechanisms arises from the changes in diffusion behavior during growth. This study shows that the phase transformation can induce surface roughening transition, thus providing a new handle in controlling the morphologies and physical properties of thin films.

An NMR study of macromolecular aggregation in a model polymer-surfactant solution

A model complex-forming nonionic polymer-anionic surfactant system in aqueous solution has been studied at different surfactant concentrations. Using pulsed-field-gradient diffusion NMR spectroscopy, we obtain the self-diffusion coefficients of poly(ethylene glycol) (PEO) and sodium dodecyl sulfate (SDS) simultaneously and as a function of SDS concentration. In addition, we obtain NMR relaxation rates and chemical shifts as a function of SDS concentration. Within the context of a simple model, our experimental results yield the onset of aggregation of SDS on PEO chains (CAC=3.5 mM), a crossover concentration (C(2)=60 mM) which signals a sharp change in relaxation behavior, as well as an increase in free surfactant concentration and a critical concentration (C(m)=145 mM) which signals a distinct change in diffusion behavior and a crossover to a solution containing free micelles. C(m) also marks the concentration above which obstruction effects are definitely important. In addition, we obtain the concentration of SDS in monomeric form and in the form of free micelles, as well as the average number of SDS molecules in a PEO-SDS aggregate (N(Aggr)). Taken together, our results suggests continuous changes in the aggregation phenomenon over much of the concentration but with three distinct concentrations that signal changes in the nature of the aggregates.

Dependence of plastoquinol diffusion on the shape, size, and density of integral thylakoid proteins

The diffusion of plastoquinol in the chloroplast thylakoid membrane is modelled using Monte Carlo techniques. The integral proteins are seen as obstacles to diffusion, and features of percolation theory emerge. Thus, the diffusion coefficient diminishes with increasing distance and there is a critical threshold of protein concentration, above which the long-range diffusion coefficient is zero. The area occupied by proteins in vivo is assessed and appears to be around this threshold, as determined from calculations assuming randomly distributed noninteracting proteins. Slight changes in the protein arrangement lead to pronounced changes in diffusion behaviour under such conditions. Mobility of the proteins increases the protein occupancy threshold, while boundary lipids impermeable to PQ diffusion decrease it. Further, the obstruction of plastoquinone/plastoquinol binding sites in a random arrangement is evaluated.

A Statistical Analysis of Fluorescence Correlation Data

Fluorescence correlation spectroscopy (FCS) is a relatively recent technique in which the diffusion coefficient of fluorescently labeled molecules can be determined. The change in diffusion behavior when these molecules interact with others can also be used to study interactions in solution. A new statistical method is proposed to analyze FCS measurements that cannot be evaluated with a classical autocorrelation function, which is normally used to analyze FCS data. It applies to binding studies where one of the interacting particles has a much brighter fluorescence intensity with respect to the other, which causes high fluorescence bursts whenever these molecules are detected. This biases the autocorrelation function, making it in most cases impossible to use this function as a fitting equation. Here, a statistical approach is used to quantify the amount of fluorescence found in bursts, thereby enabling to perform binding studies in cases where the fluorescence per molecule of both interacting species differs greatly. The method is demonstrated on a system of known composition, making it a promising tool for future FCS measurements.

Moisture in Composites: The Effect of Supersonic Service on Diffusion

Tests were conducted to determine whether aircraft flight conditions change moisture absorption behavior in graphite-epoxy composites. Flight temperature profiles were simulated for a subsonic mission, -65°F (-54°C) for 90 minutes, and for a flight involving a subsonic segment with a supersonic dash. The simulated dash involved rapid heating to a peak of 300°F (149°C) followed by rapid cooling. These simulated dashes or thermal spikes caused small, temporary drying effects. However, they also caused permanent changes in the subsequent moisture diffusion behavior of the graphite-epoxy. Both the amount and rate of moisture absorption were significantly increased. Subsonic temperatures, however, caused no detectable change in diffusion behavior.