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Pulmonary delivery is not only of increasing importance to exploit local therapy for lung diseases like COVID-19, but also plays an essential role in interpreting health impact of inhaled hazardous (nano-)materials. Deciphering of biodistribution, biokinetics, and cell-mediated immunity of pulmonary delivered nanoparticles (NPs) remains insufficient. We applied state-of-the-art multimodal imaging and deep learning pipelines to elucidate the intricate deposition profiles and the fate of biopersistent NPs in the lung within cellular resolution. Spatially resolved delivery characteristics like inter- and intra-acinar distribution pattern and regional NP dosage were revealed by tissue-clearing light-sheet fluorescence microscopy for six common routes of pulmonary delivery, i.e., intranasal & oropharyngeal aspiration, intubated instillation, microsprayer application, ventilator-assisted & nose-only aerosol inhalation. Artificial intelligence-driven entire airway 3D segmentation (convolutional neural network) enabled accurate dosimetry of bronchial versus acinar/alveolar NP dose (B/A: 0.04 to 0.18 depending on delivery route) rather than the conventionally simplified 2D central-to-peripheral ratio (C/P: 1.32 to 3.79). Moreover, longitudinal 3D imaging revealed similar intra-acinar NP kinetics independent of delivery route. Inhaled NP relocation from the alveolar-epithelium to interstitium was traditionally claimed as the consequence of passive diffusion/transportation of NPs. This study, however, revealed that acinar NP transport can be attributed to the phagocytosis and migration of tissue-resident macrophages (TRMs) as evidenced by complementary analytical approaches (intravital microscopy, ex vivo 4D live-tissue microscopy, in situ immunofluorescence, ex vivo NP-lung interaction model, flow cytometry). Overall, this study elucidates holistic NP-lung delivery and biokinetics features and TRM immunity on the fate of biopersistent NPs.

One of the most urgent requirements in nanotoxicology is a quantitative assessment of internalized nanomaterials in cells. We present an in vitro assay called ‘max-flat’ for the measurement of inte...

The majority of the published numerical studies on the deposition of ultrafine particles in the human upper airways lack the validation of the predicted flow field and particle deposition. Thus, this study aims at validating the numerically predicted laminar-turbulent flow field and subsequent deposition of ultrafine particles in a realistic model of the human upper airways by means of experimental in vitro measurements. The simulated flow field is compared to existing particle image velocimetry measurements and the total deposition results are compared to experimental deposition measurements of ultrafine carbon particles in a cast of the same upper airway model. Monodisperse ultrafine carbon particles of different thermodynamic diameter ranging from dp = 14.5nm to dp = 52nm are generated by spark ignition and their deposition in a silicone cast of the upper airway model is measured for three physiologically relevant steady inhalation flow rates Q = 10, 20 and 30 l/min. Computations of the laminar-turbulentflow field are carried out using an open-source steady-state solver for incompressible, turbulent flows in conjunction with the k-omega SST RANS turbulence model. For the simulation of the particle motion and the subsequent particle deposition, the Eulerian mass transport model is employed. Both simulations and experiments show that total particle deposition fraction increases with decreasing flow rate and decreasing particle diameter. Furthermore, simulations as well as experiments are in satisfactory quantitative agree ment with previous numerical and experimental data. A direct comparison in the range of flow rate (Q > 10 l/min) and particle size (dp > 14.5nm) that are achieved experimentally, reveals that the simulated total deposition is approximately half the experimental value. However, this discrepancy needs to be considered in the light of the very low deposition efficiencies in this flow and size range (with all experimental deposition fractions less than 5%). Finally, the simulations also serve to identify local deposition hot-spots by contours of the so-called deposition enhancement factor. Although the local deposition results cannot be validated quantitatively, they show that the deposition pattern is more discrete as particle size decrease. This observation is in line with previous studies.

Around the world, daily variations in ambient air pollution have been consistently associated with variations in daily mortality. The aim of the study presented here was to assess the effects of ambient air pollution on daily mortality during a period of tremendous changes in air quality in the city of Erfurt, in eastern Germany, from October 1991 to March 2002. Data on particle size distributions were obtained from September 1995 to March 2002 at a research monitoring station. For particles from 0.01 microm to 2.5 microm in diameter, number concentrations (NCs)* and mass concentrations (MCs) were calculated. Particles with diameters less than or equal to 0.10 microm are defined as ultrafine particles (UFP). Data on the gaseous pollutants NO2, CO, SO2, and O3 and on PM10 (particulate matter [PM] with aerodynamic diameter less than or equal to 10 microm) were obtained from a government air-monitoring station. Data on changes in energy consumption, car fleet composition, and population were collected from local authorities. Death certificates of persons living in and dying in Erfurt were abstracted, and daily mortality counts were calculated. Poisson regression models were used to analyze the data, applying penalized splines (also known as P-splines) to model nonlinear relationships in the confounders. Model selection was done without air pollutants in the models, based on a combination of goodness-of-fit criteria and avoidance of autocorrelation in error terms. Final models included P-splines of time trend, meteorologic data, and influenza epidemics as well as day of the week with an indicator variable. Results are presented as change per interquartile range (IQR), i.e., change in the relative risk of mortality associated with a change in the concentration from the 25th to the 75th percentile of a given pollutant. Air pollutants were considered both as linear terms and as P-splines to assess the exposure-response functions. Changes in effect estimates over time were calculated using fully Bayesian time-varying coefficient models. This method was selected over four other approaches tested in simulation studies. Air-pollution concentrations decreased substantially in Erfurt during the decade under observation. The strongest changes were observed for SO2, for which annual concentrations decreased from 64 microg/m3 in 1992 to 4 microg/m3 in 2001. Concentrations of PM10, PM2.5 (particulate matter with aerodynamic diameter less than or equal to 2.5 microm), and CO decreased by more than 50%. NO2, O3, and ultrafine particles also decreased, though to a lesser extent. Based on visual inspection of the data on the changes in ambient air-pollution concentrations during the study period, we defined three study subperiods: A first subperiod from 1991 to 1995; a second, transitional subperiod from 1995 to 1998; and a third subperiod from 1998 to 2002. Generally, air-pollution concentrations decreased substantially from the first subperiod to the second, and some additional decreases occurred from the second subperiod to the third. During the second, transitional subperiod, natural gas replaced coal as the main energy source in Erfurt. In addition, the number of cars with catalytic converters increased over time, as did the number of cars in general. To facilitate the interpretation of the results, we organized the air pollutants into four groups: (1) NO2, CO, and ultrafine particles, (2) PM10 and PM2.5, (3) SO2, and (4) O3. We observed a 1.6% increased risk for daily mortality (CI, -0.4% to 3.5%) for an increase of 19.7 microg/m3 in NO2 (lag day 3), a 1.9% increased risk (CI, 0.2%-3.6%) for an increase of 0.48 mg/m3 in CO (lag day 4), and a 2.9% increased risk (CI, 0.3%-5.5%) for an increase of 9743/cm3 in ultrafine particles (lag day 4). No consistent associations were observed for PM10, PM2.5, or SO2. For O3, a 4.6% increased risk for daily mortality (CI, 1.1%-8.3%) was associated with a 43.8 microg/m3 maximum 8-hr concentration of O3 per day (lag day 2). For all four pollutants, exposure-response functions suggested no deviation from linearity. However, in time-varying models the strongest associations were observed for NO2, CO, and ultrafine particles during the transition subperiod, from 1995 to 1998, when O3 concentrations were lowest. Changes in source characteristics or ambient air-pollution concentrations were not able to explain these observations in a straightforward manner. However, the observations suggested that changes such as the introduction of three-way catalytic converters in cars and the substitution natural gas for coal might have been beneficial. Overall we concluded that: 1. Economic and political changes and the adoption of new technologies in eastern Germany resulted in distinct improvements in ambient air quality; 2. Urban air pollution in Erfurt changed within one decade from the eastern mixture toward that of western Europe ("western mixture"), which is dominated by concentrations of NOx, O3, fine particles, and ultrafine particles with low concentrations of SO2; 3. There was an association between daily mortality and ultrafine particles and combustion-related gases (lag days 3 or 4); 4. Ultrafine particles seemed to be the best pollution indicator and to point to the role of local combustion in the pollution mixture; 5. Regression coefficients showed variation over time for NO2, CO, ultrafine particles, and O3 that could not be explained by nonlinearity in the exposure-response functions; 6. Mortality associated with pollution was lower at the end of the 1990s than during the 1990s, except for mortality associated with O3; and 7. Mortality associated with pollution was strongest in the second, transitional subperiod, from 1995 to 1998, when changes in source characteristics had taken place but the benefits of improved ambient air quality had not yet been completely achieved.

The authors have adjusted a jet nebulizer to a mechanical ventilator (Servo Ventilator, Siemens) to deliver an aerosol to rats. They aimed to clarify whether a modified jet nebulizer generating particles with a mass median aerodynamic diameter of 2 microm would be effective and safe in intubated ventilated rats. Fluorescent microspheres (diameter: 1.0 microm) were aerosolized to verify qualitatively and quantitatively intrapulmonary deposition. Particle deposition fraction was 3.8% (1.3%) of the delivered dose (median [interquartile range]). There was no evidence for any adverse event as assessed from heart rate, mean arterial pressure, PaO2 and PaCO2 before, during, and after nebulization. No pulmonary tissue trauma was detected histologically.

After a single short term inhalation of monodisperse cobalt compound aerosols with preselected physical and chemical parameters the long term retention in beagle dogs is determined measuring their radioactive Co-57 label by a gamma camera. Additionally the major clearance pathways are estimated by excretion analyses. The biological variability of the lung retention is small but it depends clearly on the physiochemical properties of the inhaled aerosol particles. The predominant clearance mechanism in the lung is a moderate dissolution process depending on the specific surface area of the particles. So cobalt oxide particles with an adjustable solubility in the lung can be used for studies of distinct dissolution processes in the lung. Using a gamma camera the dynamics of particle accumulation in the tracheobronchial lymph nodes and the subsequent clearance are analysed on single dogs.

Administration of drugs via the airway is increasingly practiced in ICU- and surgical patients. For this purpose, aerosols may be produced by either jet nebulization or ultrasonic droplet generation. In mechanically ventilated patients, aerosol delivery is often insufficient. The influence of the ventilatory pattern on nebulizer efficacy is poorly understood. In the present in vitro study we determined the efficacy of a new ultrasonic nebulizer in delivering aerosolized epoprostenol using defined ventilator settings. We determined aerosol delivery rates, the aerosol droplet size distribution and the impact of the connection tubing on drug delivery, applying adult and infant ventilation patterns. Aerosol production rates ranged from 0.28 to 0.57 ml per minute. Using an adult ventilator setting volume controlled ventilation (CMV) led to a higher aerosol production rate than pressure controlled ventilation (PCV) at identical tidal volumes and mean airway pressures (0.57 ml/min,CMV vs 0.39 ml/min, PCV). With an infant ventilator setting, nebulizer rates were lower than those found for the adult ventilator setting, but did not differ substantially between CMV and PCV mode (0.29 ml/min, CMV vs 0.28 ml/min, PCV). Aerosol delivery rates distal to the endotracheal tube changed according to aerosol production rates (adult mode: 0.18 ml/min, CMV vs 0.10 ml/min, PCV; infant mode: 0.03 ml/min, both CMV and PCV). In the infant ventilation mode, a higher percentage of the aerosol was trapped in the catheter mount as compared to the adult ventilation mode. Mass median droplet diameters for each of the four ventilator settings were almost identical (4.63 to 5.09 micron) and smaller than indicated in the product specifications (8 micron). Delivery rates and sizes of droplets delivered by the new ultrasonic nebulizer SUN 345(R) agree well with previously reported data from comparable settings using diverse nebulizer devices.

Increases in morbidity and mortality have been observed consistently and coherently in association with ambient air pollution. A number of studies on short-term effects have identified ambient particles as a major pollutant in urban air. This study, conducted in Erfurt, Germany, investigated the association of mortality not only with ambient particles but also with gaseous pollutants and indicators of sources. Part I of this study concentrates on particles. Data were collected prospectively over a 3.5-year period from September 1995 to December 1998. Death certificates were obtained from the local authorities and aggregated to daily time series of total counts and counts for subgroups. In addition to standard data for particle mass with diametersor = 2.5 microm (PM2.5)* oror = 10 microm (PM10) from impactors, a mobile aerosol spectrometer (MAS) was used to obtain size-specific number and mass concentration data in six size classes between 0.01 microm and 2.5 microm. Particles smaller than 0.1 microm were labeled ultrafine particles (three size classes), and particles between 0.1 and 2.5 microm were termed fine particles (three size classes). Concentrations of the gases sulfur dioxide (SO2), nitrogen dioxide (NO2), and carbon monoxide (CO) were also measured. The daily average total number concentration was 18,000 particles/cm3 with 88% of particles below 0.1 pm and 58% below 0.03 microm in diameter. The average mass concentration (PM2.5) was 26 microg/m3; of this, 75% of particles were between 0.1 and 0.5 microm in diameter. Other average concentrations were 38 microg/m3 for PM10, 17 microg/m3 for SO2, 36 microg/m3 for NO2, and 600 microg/m3 for CO. Ambient air pollution demonstrated a strong seasonality with maximum concentrations in winter. Across the study period, fine particle mass decreased, whereas ultrafine particle number was unchanged. The proportion of ultrafine particles below 0.03 microm diameter increased compared with the proportion of other particles. During the study, concentrations of SO2 and CO also decreased, whereas the concentration of NO2 remained unchanged. The data were analyzed using Poisson regression techniques with generalized additive modeling (GAM) to allow nonparametric adjustment for the confounders. Both the best single-day lag and the overall association of multiple days fitted by a polynomial distributed lag model were used to assess the lag structure between air pollution and death. Mortality increased in association with level of ambient air pollution after adjustment for season, influenza epidemics, day of week, and weather. In the sensitivity analyses, the results proved stable against changes of the confounder model. We saw comparable associations for ultrafine and fine particles in a distributed lag model where the contribution of the previous 4 to 5 days was considered. Furthermore, the data suggest a somewhat more delayed association of ultrafine particles than of fine particles if single-day lags are considered. The associations tended to be stronger in winter than in summer and at ages below 70 years compared to ages above 70 years. Analysis of the prevalent diseases mentioned on death certificates revealed that the overall association for respiratory diseases was slightly stronger than for cardiovascular diseases. In two-pollutant models, associations of ultrafine and fine particles seemed to be largely independent of each other, and the risk was enhanced if both were considered at the same time. Furthermore, when the associations were summed for the six size classes between 0.01 and 2.5 microm, the overall association was clearly stronger than the associations of the individual size classes alone. Associations were observed for SO2, NO2, and CO with mortality despite low concentrations of these gases. These associations disappeared in two-pollutant models for NO2 and CO, but they remained stable for SO2. The persistence of the SO2 effect was interpreted as artifact, however, because the SO2 concentration was much below levels at which effects are usually expected. Furthermore, the results for SO2 were inconsistent with those from earlier studies conducted in Erfurt. We conclude that both fine particles (represented by particle mass) and ultrafine particles (represented by particle number) showed independent effects on mortality at ambient concentrations. Comparable associations for gaseous pollutants were interpreted as artifacts of collinearity with particles from the same sources.