Significance
It is always a challenge to see the deposition of single PM2.5 particles, the harmful inhalable aerosols in the polluted air, in alveolar region, and their invasion to the extrapulmonary organs. The dynamic deposition process and the nonuniform deposition pattern of PM2.5 in the alveolar region are revealed using a fluorescent imaging method with high temporal and spatial resolutions. This observation technology would also bring insight in the study of the public health in air pollution and lung administration.
Keywords: PM2.5, lung, air pollution, particle deposition, extrapulmonary organs
Abstract
The deposition of PM2.5 (fine particulate matter in air with diameter smaller than 2.5 μm) in lungs is harmful to human health. However, real-time observation on the deposition of particles in the acinar area of the lung is still a challenge in experiments. Here, a fluorescent imaging method is developed to visualize the deposition process with a high temporal and spatial resolution. The observations reveal that the deposition pattern is nonuniform, and the maximum deposition rate in the acinar area differs significantly from the prediction of the widely used average deposition model. The method is also used to find single particles in the kidney and liver, though such particles are commonly believed to be too large to enter the extrapulmonary organs.
Particulate matter (PM), a component of air pollutants with an aerodynamic diameter smaller than 10 μm, can be inhaled and deposited in the lungs. The deposition of PM in the lungs will cause pulmonary injuries such as asthma, pulmonary dysfunction, pneumonia, and lung cancer (1–4). When the particles are smaller than 2.5 μm (PM2.5), they can reach the terminal bronchioles and enter alveoli, which is harmful to the respiratory system. For example, the morbidity of lung cancer increases 36% for every increment of 10 μg/m3 PM2.5 in the air (5). Furthermore, finer particles (nanoparticles) can pass through the air-blood barrier in the acinar region and enter the blood circulation, inducing injury in the extrapulmonary organs (6–8). Knowing the precise deposition process and the transport mechanism of inhalable particles is crucial for studies of the health risk assessment in air pollution and drug delivery in the lung (9).
The deposition process has been studied for decades, and a thorough investigation on the deposition of particles is provided in the report by the International Commission on Radiological Protection (ICRP) (10). Based on the experimental data collected in the report, an ICRP model has been built to evaluate the deposition of particles from 1 nm to 10 μm in distinct anatomical regions in lungs, and the model has been widely used in studies of the health effects of air pollution (11, 12). The model is established on the assumption that the particles deposit uniformly in each generation of the airway in lungs. However, the deposition process and patterns are affected by the particle size. According to current understanding, kinematics of particles in the acinar region are dominated by the gravitational sedimentation for large particles (larger than 2.0 μm), while Brownian motion influences small ones (smaller than 0.1 μm) (13, 14). For intermediate particles in the size range of 0.1–1 μm, transport is dependent on the local irreversible kinematics within the alveolar cavities (13, 15–17). Because of the different kinematics, the deposition process and patterns are more complicated than those predicted by the average model based on uniform deposition. This raises an important question: How can we know the real deposition rate in a local acinar region when the deposition pattern is nonuniform? It is still a challenge to measure the pulmonary deposition of particles in vivo. Radiolabeled particles are commonly used, but the spatial resolution is too coarse to distinguish and count the particles in a local area (10, 18). High-resolution deposition patterns in a lung can be obtained, but only from visualization in killed animals (19). Therefore, there is an urgent demand for a real-time measurement in vivo with high resolution both in time and in space.
In this work, inhalation experiments are performed in vivo to obtain the deposition patterns and the deposition rates of the particles in local areas of a mouse lung using a fluorescent imaging method. Fluorescent polystyrene latex microspheres with the sizes of 0.2 μm (PM0.2) and 2 μm (PM2.0) are used, respectively, to simulate the small and large components of PM2.5 in the air. The concentrations of the particles in the air are 17.5, 175, and 1,750 μg/m3, corresponding, respectively, to the air quality levels of good, high pollution, and ultra-high pollution conditions according to National Ambient Air Quality Standards (NAAQS, 1997). The deposition of the particles in lungs are observed by a two-photon imaging microscope through a small surgical incision in the rib cage, and the deposition rates of particles in local areas are measured from the images in time sequence. The experimental details are provided in the Materials and Methods section. The images of the particles and the variation of the PMs levels are provided in SI Appendix, Figs. S1 and S2.
Results
Deposition Patterns.
The deposition patterns of the PM0.2 and PM2.0 particles in the acinar regions are investigated first before we choose a local area to measure the deposition rate. The frozen sections of the lung are made along the sagittal plane after the inhalation experiments, and the fluorescent deposition patterns of the PM2.0 and PM0.2 are shown in Fig. 1 A and B, respectively. The deposition pattern of PM2.0 is found to be nonuniform in the lung according to the variation of the fluorescent intensity as shown in Fig. 1A. The particles aggregate at the edge of the left lung and form a high-concentration area. A local region (a1) marked with the dash square in the high-concentration area is observed at higher magnification, where a lot of red and orange fluorescent particles are found, as shown in Fig. 1A1. On the contrary, PM2.0 has a much lower concentration on the opposite side of the edge of the lung. A local low-concentration region (a2) in the dash square is observed at higher magnification, and only a few fluorescent particles are found, as shown in Fig. 1A2. This kind of nonuniform deposition patterns of the PM2.0 in lungs appear in all mice in the experiments, and it is attributed to the effect of gravitational sedimentation on large particles. According to the current understanding, the large particles aggregate along the lowest place of the lung under the influence of the gravitation force, while in the experiment the lowest place is the edge of the left lung of the mouse because the mouse is lying on its left side.
Compared with PM2.0, PM0.2 has a more uniform deposition pattern in the acinar region. For example, there is still a medium fluorescent intensity at the right edge of the right lung. A local area in this region marked with the dash square (b1) is observed at higher magnification, and a lot of particles are seen, as shown in Fig. 1B1. The uniform deposition pattern of PM0.2 in the acinar region indicates that the gravitational force is not the main factor that influences the motion of the smaller particles. The kinetics of the PM0.2 is largely affected by the local unsteady airflow patterns within alveolar cavities, where the particle is diverted from an escape zone to a capture zone (or vice versa) (13, 15–17). Additionally, the highest concentration of PM0.2 is in the bronchiole region, a local area marked with the dash square (b2) is observed, and more particles are found on the surface of the bronchiole, as shown in Fig. 1B2.
Deposition Rates.
Since PM2.0 has a nonuniform deposition pattern in the acinar region, its deposition rate in local areas may differ significantly from the average value in the whole region, and the real deposition rate in a local area needs to be measured separately. To determine the deposition rate of PM2.0 particles in the acinar region, two typical local areas for observation are chosen. One is from the high-concentration region at the left side of the left lung, such as area (a1) in Fig. 1A, which represents the region with the maximum deposition rate, and the other is from the medium concentration region at the right side of the left lung, such as area (a3) in Fig. 1A, which represents the region with an average deposition rate. The measurement of the deposition rate in the selected region is always a challenge in experiments because of the difficulties in the visualization of the microscale particles in a breathing lung. Here, the deposition process of the particles is visualized in a time sequence using a two-photon imaging microscope in an inhalation experiment in vivo assisted by a ventilator. The lung is gently immobilized and the observation area in the lung is scanned with the microscope from the bottom to the top in 20 s. For each scan, there are 12 layers with the interval of 2 μm, and the time interval between the two consecutive scans is 30 s. The deposited particles in the scanned images can be recognized according to their fluorescence, and the number of the particles in the observation area is acquired. Therefore, real-time observation on the deposition process of particles in the acinar region is realized and the deposition rate in a local area can be measured in short time intervals. The details of the experiment are provided in the Materials and Methods section.
The deposition process of PM2.0 in a local area in the high-concentration region is shown in Fig. 2. In the images, the tissue is in green color under the exciting light, while the emission light of fluorescent particles is red. When fluorescent particles are located at the place where the green light of the tissue is strong, they will present yellow color. Therefore, the red and yellow dots in the images are both recognized as the PM2.0 particles.
At the beginning of the experiment, there are no fluorescent particles in the acinar region, and only the porous structure of the acinar region is seen in green color, as shown in Fig. 2A. When fluorescent particles are ventilated into the lung, they are found in the observation area and gradually deposit in the area. The deposition pattern of PM2.0 at 5 min during the ventilation is shown in Fig. 2B. At the end of the ventilation at 15 min, clean air containing no PM2.0 particles is pumped into the lung. Some of the deposited particles are found to be removed from the area, while most of them are still left, as shown in Fig. 2C. This inhalation experiment assisted by the fluorescent imaging method realizes a real-time observation on the deposition process of the particles in a local area in the acinar region with high resolution both in time and in space. Thus, the deposition process of PM2.0 in the deep pulmonary acinus can be quantitatively measured over time, and the deposition of single particles in a short exposure time can also be detected.
The number of the PM2.0 in the selected local area is acquired from the reconstructed 3D image as shown in Fig. 3A. The 3D image helps to distinguish the deposited particles in case some of them are missed in the 2D images. The number of the particles deposited in the local area selected from the high-concentration region and that in the local area selected from the medium concentration region are compared in Fig. 3B. The number of particles in each kind of area is from five mice. In Fig. 3B, the number of the deposited particles in the high-concentration region (max.) is obviously higher than that in the medium concentration region (avg.). It validates that the two local areas have distinct deposition rates, and the fluorescent imaging method is effective to be used to study the nonuniform deposition of particles in the acinar regions.
With the counted number of the particles deposited at the different exposure times as shown in Fig. 3C, the maximum (max.) deposition rate in the high-concentration area and the average (avg.) deposition rate in the medium concentration area are acquired. In the figure, the number of the particles deposited in the local area is recognized to have a linear relationship with the exposure time. According to the fitted lines in Fig. 3C, the maximum deposition rate of PM2.0 (UN) is 0.8/min, while the average deposition rate is 0.2/min. Consequently, the mass deposition rate (Um) can be expressed as Um = UN × Vp × ρ/Vtg, where Vp is the volume of the particle, ρ is the density of the particles, 1.05 g/mL, Vtg is the volume of the selected local area, 210 × 210 × 24 μm3. With the measured value of UN, the maximum deposition rate of PM2.0 is 3.5 μg⋅min−1⋅ml−1, while the average deposition rate of PM2.0 is 0.7 μg⋅min−1⋅ml−1. Thus, there is a significant difference between the average and the maximum deposition rates of the PM2.0 particles in the acinar region in a lung.
This measured deposition rates are compared with the prediction value according to the widely used average deposition model (10). The total PM2.0 mass inhaled into the lung is 1,750 (μg/m3) × 0.2 (ml/breath) × 120 (breath/min), while the total volume of the acinar region of a mouse used in the experiment is ∼10 × 10−3 ml. According to the ICRP model, PM2.0 have ∼10% deposition percentage in the alveoli region, and the calculated mass deposition rate is 0.42 μg⋅min−1⋅ml−1. The measured maximum and average deposition rates are compared with the calculated deposition rate in Fig. 3D. The calculated deposition rate agrees well with the average deposition rate, but it is much lower than the maximum deposition rate. Therefore, the average deposition model can still be used to predict the average deposition rate in the acinar region, but the prediction is much lower than the maximum deposition rate in the high-concentration regions when the deposition pattern is nonuniform.
The deposition rate is also affected by the PM2.5 levels in the air. The PM2.5 level is the mostly concerned parameter of air pollution, especially in the countries with rapid development of industry in recent years. As shown in Fig. 3E, the deposition rate of the particle number is 0.38/min when PM2.0 is 175 μg/m3, and it increases to 0.8/min when PM2.0 is 1,750 μg/m3, while in good air quality condition that PM2.0 is 17.5 μg/m3, the number of the particles does not increase with the exposure time, the deposition rate is considered to be 0/min. The maximum mass deposition rates are shown in Fig. 3F, and they are compared with the published data of PM2.5 deposition rates in the acinar region of human lungs measured in Nanjing (China) (20) and in Kolkata (India) (21). The PM2.5 levels in Nanjing and Kolkata are 150∼300 μg/m3, and the calculated average deposition rates based on the ICRP model are 0.2∼0.4 μg⋅min−1⋅ml−1 and 0.15∼0.25 μg⋅min−1⋅ml−1, respectively. The calculated average deposition rate is still much lower than the maximum deposition rate measured in our experiment at the PM2.0 level of 175 μg/m3. Thus, to determine the maximum deposition rate of PM2.5 in acinar region, the real-time measurement is necessary instead of the calculation.
Particles in Extrapulmonary Organs.
It is found that the deposited particles stay in the acinar region even when clean air is ventilated into the lung. They will finally be cleared by several mechanisms and pathways (22), which lead mainly to the gastrointestinal tract, the lymphatic system, and the blood circulation. The absorption of particles in blood circulation would lead to the deposition of particles in other important extrapulmonary organs. Actually, the transport of aerosol to an extrapulmonary organ has always been an important subject in health risk assessment and lung administration.
In the experiment, both PM0.2 and PM2.0 particles are found in the kidney and liver, as shown in Fig. 4. The PM0.2 are found to aggregate in the medullary renal tubule of the kidney, as the red dots shown in Fig. 4A1. They are also found in the lobular sinus of the liver, as shown in Fig. 4B1. PM0.2 are found in the kidney and liver of the other three mice under the PM0.2 level of 1,750 μg/m3, and the images are presented in SI Appendix, Fig. S4. Single particles of PM2.0 are also found in the kidney and liver, but they are very few. For example, only one PM2.0 particle is found in the kidney of a mouse, while one PM2.0 particle is found in the liver of another mouse, as shown in Fig. 4 C1 and D1. The single particles of PM2.0 are found in the kidney and liver in other three mice, and they are presented in SI Appendix, Fig. S5. This is clear evidence that the PM2.5 particles can enter the extrapulmonary organs. The details on the examination of the organ tissues are provided in the Materials and Methods section.
In the experiment, the particles are directly ventilated into the lung without passing other organs, and the connection between the intubation tube and the trachea was well sealed (described in the Materials and Methods section), thus the most possible pathway for the particles to enter the extrapulmonary organs is through the air-blood barrier in the acinar region. However, it is commonly accepted that only nanoparticles can pass through the air-blood barrier in the acinar region through the endocytosis or diffusion (23–26), while both the PM0.2 and PM2.0 particles are considered too large to pass through. One of the possible mechanisms is the internalization of particles by macrophages. Recent studies on incubation of polystyrene spheres with rat alveolar macrophages reveal that a macrophage attached to the polystyrene spheres with the size of 5 μm internalizes it in a few minutes (27).
Although the transport mechanism has not been clear yet, the deposition of the PM0.2 and PM2.0 particles in extrapulmonary organs is confirmed. It is attributed to the high detection resolution provided by the fluorescent method, so that the very small number of particles in the extrapulmonary organs can be detected, which used to need a long-term accumulation to a concentration high enough for the detection after an exposure for days or weeks.
Materials and Methods
In Vivo Inhalation Experiment.
A mouse was anesthetized with Avertin (2,2,2-Tribromomethanol, FW282.7, Aldrich chemical T4,840–2, 20 mg/mL, 0.2 mL/10 g) intraperitoneally injected. It was then placed on a heated microscope stage with the aid of tape. A small incision was made in the trachea 3–4 mm below the throat, and a tracheal cannula was inserted. The other end of the cannula was connected to a mini ventilator (DW-3000C; ZS Dichuang Co.). The connection between the intubation tube and the trachea was well sealed, as shown by the schematics in Fig. 5. The mouse’s breath was maintained by the mini ventilator with a tidal volume of 10 μL compressed air (21% O2) per gram of the mouse weight, and the respiratory rate was 120 breaths per minute, and a positive-end expiratory pressure of 2–3 cm H2O. Fluorescent particles with the diameter of 0.2 and 2.0 μm were prepared in three different concentrations, and they were injected into the mouse lungs according to the tidal volumes and respiration rates. An inhalation experiment lasted for 15 min, and then, the aerosol was removed and clean air was ventilated into the lung for 10 min. The schematics of the experimental setup is shown in Fig. 5. For each experimental condition, i.e., each kind of particles in each concentration, five mice were tested.
A two-photon imaging microscope (FV1200MPE; Olympus Co.) was used to observe the deposition of particles in the mouse lung. The resolution of the microscope is 1 μm/pixel, and the scanning speed is 4 μs/pixel in an area of 512 × 512 pixels with a 25× objective lens. The mouse was laid in the left lateral decubitus status and a small surgical incision was made to expose the right rib cage. A second incision was then made into the intercostal space between ribs 3 and 4 through the parietal pleura to expose the lung. A custom flanged lung lobe fixator with an 8-mm circular coverslip was inserted between the two ribs. The suction with the pressure of 20–25 mmHg was applied to gently immobilize the lung. The objective lens of the two-photon imaging microscope was then placed over the thoracic window to observe the deposition of the particles in the acinar region of the lung.
Animals.
Bal B/C mice (8 wk old) were purchased from laboratory animal research center of Tsinghua University, and they were applied for the experiments and kept in conventional conditions. All in vivo experiments were conducted in accordance with the Institute’s Guide for the Care and Use of Laboratory Animals and were approved by the ethical committee of Tsinghua University (Approval No. 16#ZY-1).
Fluorescent Particles.
Fluorescent dyed polystyrene particles with the diameter of 0.2 μm and 2 μm (R200 and R0200; Thermo Fisher Scientific) were respectively applied to simulate the PMs. The particles have an excitation wavelength of 542 nm with peak emission wavelength at 612 nm. Suspension was atomized by the aerosol generator in a 50 L sealed box. The concentration of the PMs in the air is C = QL × CL × ρ/QA, where QL is the flow rate of the suspension, CL is the concentration of particles in suspension, ρ is the density of the particles, and QA is the aerosol generation speed. In the experiment, QL = 0.2 mL/min, ρ =1.05 g/mL, QA = 6 L/min. CL = 5 × 10−3% (vol/vol) for PM0.2, CL = 5 × 10−3%, 5 × 10−4% and 5 × 10−5% (vol/vol) for PM2.0. Thus, the PM2.0 concentrations are 1,750, 175, and 17.5 μg/m3 in the air, respectively. The images of the particles from the aerosol is provided in the SI Appendix, Fig. S1. The concentration of the particles in the sealed box was monitored by a PM detector (DC1100-PRO-EMI; Dylos Co.), and the variation of the PMs level is provided in SI Appendix, Fig. S2.
Frozen Pieces of the Organs with Deposition Patterns.
After the inhalation experiment, the mice were executed instantly by overdose intraperitoneally injection of Avertin. The lung, liver, and kidney were harvested and immersion-fixed in 10% neutral buffered paraformaldehyde for 24 h in the light-proof environment. All of the frozen sections were made under the lucifugal condition with the temperature of −20 °C. The fixed lung tissues were cut into 15 pieces through hilus pulmonis along the sagittal plane with the thickness of 100 μm for each piece. With the same method, three pieces of liver and three pieces of kidney along the sagittal plane were made.
The frozen sections were scanned under a laser confocal microscope (A1Rsi; Nikon Inc.). The emit wavelength was 542 nm. A 25× objective lens was used to scan the whole section of organs, and a 60× objective oil lens was used to observe the deposited particles in the local areas. The resolution of the microscope was 1.24 μm using the 25× lens, and 0.1 μm using the 60× lens. The 3D reconstruction of the deposition patterns of the particles in organs were carried out using Voloom/Imaris software (Bitplane AG).
Conclusion
In this work, a fluorescent imaging method is adopted in an inhalation experiment to observe the deposition of PM2.5 in a mouse lung with high temporal and spatial resolutions. Therefore, the deposition rate of particles in a local area of interest in the acinar region can be directly measured. For PM2.5 particles, which have a nonuniform deposition pattern, the measured maximum deposition rate is much higher than the predicted value from the widely used average deposition model.
Moreover, attributed to the high resolution of the fluorescent imaging method, single PM0.2 and PM2.0 particles are found in the kidney and liver. It is considered that the particles may pass through the air-blood barrier although the mechanism is not yet clear. The realization of the real-time observation on the deposition of the PM2.5 in a local area of interest in lungs brings an insight to evaluate the risk of air pollution and to study the drug delivery efficiency of the inhalable drug particles in lung administration.
The data that support the findings of this study are available on request from the corresponding author H.C. The data are not publicly available due to them containing information that could compromise research, participant privacy, and consent.
Supplementary Material
Acknowledgments
We thank Dr. Ruan Yingmao, Zhang Yanli, Dai Yali, and Cao Huizhen for their help in the experiments. This work is supported by Beijing Natural Science Foundation Grant 3172018 and National Natural Science Foundation of China Grants 51420105006 and 51322501.
Footnotes
The authors declare no conflict of interest.
This article is a PNAS Direct Submission.
This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1818134116/-/DCSupplemental.
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