Jelena Kolosnjaj-Tabi1, Jocelyne Just2, Keith B Hartman3, Yacine Laoudi2, Sabah Boudjemaa4, Damien Alloyeau5, Henri Szwarc1, Lon J Wilson3, Fathi Moussa6. 1. LETIAM, Lip(Sys) , IUT d'Orsay, Paris-Saclay University, Plateau de Moulon, 91400 Orsay, France. 2. Paediatric Pulmonology and Allergy Center, Trousseau-La Roche Guyon Hospital group, Assistance Publique - Hôpitaux de Paris, Pierre et Marie Curie-Paris 6 University, Paris, France. 3. Department of Chemistry, Richard E. Smalley Institute for Nanoscale Science and Technology, P.O. Box 1892, Rice University-MS 60, Houston, TX 77251-1892, USA. 4. Department of Anatomo-pathology, Trousseau-La Roche Guyon Hospital group, Assistance Publique - Hôpitaux de Paris, Pierre et Marie Curie-Paris 6 University, Paris, France. 5. Laboratoire Matériaux et Phénomènes Quantiques, UMR 7162, CNRS - Université Paris Diderot, Paris, France. 6. LETIAM, Lip(Sys), IUT d'Orsay, Paris-Saclay University, Plateau de Moulon, 91400 Orsay, France; Department of Biochemistry, Trousseau-La Roche Guyon Hospital group, Assistance Publique - Hôpitaux de Paris, Pierre et Marie Curie-Paris 6 University, Paris, France.
Abstract
Compelling evidence shows that fine particulate matters (PMs) from air pollution penetrate lower airways and are associated with adverse health effects even within concentrations below those recommended by the WHO. A paper reported a dose-dependent link between carbon content in alveolar macrophages (assessed only by optical microscopy) and the decline in lung function. However, to the best of our knowledge, PM had never been accurately characterized inside human lung cells and the most responsible components of the particulate mix are still unknown. On another hand carbon nanotubes (CNTs) from natural and anthropogenic sources might be an important component of PM in both indoor and outdoor air. We used high-resolution transmission electron microscopy and energy dispersive X-ray spectroscopy to characterize PM present in broncho-alveolar lavage-fluids (n = 64) and inside lung cells (n = 5 patients) of asthmatic children. We show that inhaled PM mostly consist of CNTs. These CNTs are present in all examined samples and they are similar to those we found in dusts and vehicle exhausts collected in Paris, as well as to those previously characterized in ambient air in the USA, in spider webs in India, and in ice core. These results strongly suggest that humans are routinely exposed to CNTs.
Compelling evidence shows that fine particulate matters (PMs) from air pollution penetrate lower airways and are associated with adverse health effects even within concentrations below those recommended by the WHO. A paper reported a dose-dependent link between carbon content in alveolar macrophages (assessed only by optical microscopy) and the decline in lung function. However, to the best of our knowledge, PM had never been accurately characterized inside human lung cells and the most responsible components of the particulate mix are still unknown. On another hand carbon nanotubes (CNTs) from natural and anthropogenic sources might be an important component of PM in both indoor and outdoor air. We used high-resolution transmission electron microscopy and energy dispersive X-ray spectroscopy to characterize PM present in broncho-alveolar lavage-fluids (n = 64) and inside lung cells (n = 5 patients) of asthmatic children. We show that inhaled PM mostly consist of CNTs. These CNTs are present in all examined samples and they are similar to those we found in dusts and vehicle exhausts collected in Paris, as well as to those previously characterized in ambient air in the USA, in spider webs in India, and in ice core. These results strongly suggest that humans are routinely exposed to CNTs.
Entities:
Keywords:
Air pollution; Asthma; Carbon; Lamellar bodies; Nanotubes
At the dawn of the 21st century air pollution remains a growing
public health threat (Lim et al.,
2013), regardless of the fact that air quality should be
regarded as an integral part of human rights (Samet and Gruskin, 2014). Among air
pollutants, fine particulate matters (PMs) of less than 2·5 μm
in diameter (PM2.5) were recently ranked as one of the leading
causes of death and disability worldwide (Lim et al., 2013). Recent studies indicate the
persistence of adverse health effects and associate long-term exposure to
PM2.5 with natural-cause mortality even within
concentrations below those recommended by the WHO and European institutions
(Beelen et al.,
2014). According to epidemiological studies, long-term exposure
to high concentrations of PM increases the risk of cardiovascular
(Pope et al., 2009, Shah et al., 2013) and respiratory disease (Zemp et al., 1999), diabetes
(Li et al., 2014)
and lung cancer (Raaschou-Nielsen et
al., 2013), whereas short-term exposure can exacerbate and/or
onset various forms of respiratory disease, such as asthma (Guarnieri and Balmes, 2014, Gordon et al., 2014, Smith et al., 2000).A recent review discussed clinical implications, policy issues,
and research gaps relevant to air pollution and asthma (Guarnieri and Balmes, 2014). One
of the most challenging tasks for air pollution research has been how to address
the fact that people are almost always exposed to a mixture of pollutants
(Kelly and Fussell,
2012). Concerning exposure to PM2.5 the
authors note that the most responsible components of the particulate mix are not
known and they add that unraveling which components of the traffic pollution
mixture are responsible for asthma exacerbations and onset is a substantial
challenge (Guarnieri and Balmes,
2014). Obviously, this discussion may also apply to other
adverse health effects such as cardiovascular disease and lung cancer.Among particulate constituents, carbon, found in alveolar
macrophages (AM), has been linked in a dose dependent manner to the decline in
lung function (Kulkarni et al.,
2006). In addition, a recent study suggested a possible
mechanism underlying the observation that traffic-derived air pollution
adversely affects children with asthma, because they may be less able to clear
inhaled PM effectively (Brugha et al.,
2014). In both studies, macrophage carbon content was
assessed with image analysis of black material present inside AM, visualized
with optical microscopy alone. Yet, based on empirical evidence, we postulate
that lamellar bodies and carbon content cannot be distinguished by optical
microscopy, and even low magnification transmission electron microscopy (TEM)
because their sizes and aspects are quite similar. Hence, in order to unravel
which components of carbonaceous PM are responsible for adverse effects, it is
first important to thoroughly and specifically characterize the components
present in the “black material inside AM”.In order to evaluate if PMs have been inhaled after
environmental exposure, it is necessary to investigate for PM presence in the
lungs of healthy subjects, which is elusive. In theory, it is possible to check
for PM presence in organs during autopsy, but this cannot provide direct
evidence of routine exposure, since their presence could result from previous
accidental exposures.The main objective of this work is to characterize the
carbonaceous PMs found in the lungs of Parisian children. To attain this
objective we used transmission electron microscopy (TEM), high-resolution TEM
(HRTEM), energy dispersive X-ray spectroscopy (EDX), Raman spectroscopy, and
near infrared fluorescence microscopy (NIRFM) to characterize PM. Our purpose
was to find the most appropriate method to characterize PM.Particulate matter was characterized in broncho-alveolar lavage
fluid (BALF) extracts and in situ in AM of asthmatic
Parisian children. Asthmatic patients, rather than healthy subjects, were
selected for the study since fiber-optic bronchoscopy with broncho-alveolar
lavage is routinely performed in France as a diagnostic tool for other missed
diseases with symptoms similar to asthma (Just et al., 2002). Obviously, such an
invasive method is ethically difficult to consider for healthy
subjects.
Methods
Study Design and Sample
Collection
The study was conducted on 69 randomly selected BALF
residues collected from asthmatic infants and children living in Parisian
area who had undergone treatment by the Pediatric Pulmonology and Allergy
Center of Paris. BALF samples were obtained during fiber-optic bronchoscopy
as part of normal clinical management with written informed consent of the
parents of every subject. This study using only BALF residues was performed
according to French public health regulations (Code de la santé
publique — Article L1121-3, modified by Law
n°2011–2012, December 29
2011 — Article 5).We first retrospectively studied 64 BALF samples (36 boys
and 28 girls aged between 2 to 204 months (17 years), median 54 months), randomly
selected from a collection of BALF residues (frozen at Trousseau Hospital,
Paris, France) collected between 2007 and 2011 from subjects with symptoms
of unusual asthma (i.e. recurrent or persistent wheezing and resistance to
high doses of inhaled corticosteroids). As freezing lysed the cells, we
later analyzed five freshly collected BALF samples with intact airway cells
from five randomly selected patients (males, aged 12 to 58 months, median age 23 months) with symptoms of unusual
asthma. Macroscopic inflammation was observed in all five patients.
Hyper-cellularity in BALF samples (> 22 × 104 cells/mL), mainly represented by AM and alveolar neutrophils, was present
in four samples.
Fiber-Optic Bronchoscopy With Bronchoalveolar
Lavage (FBBAL)
FBBAL was performed under mild sedation and local anesthesia
as previously reported (Just et
al., 2002). The first BALF aliquot was processed for
quantitative bacterial culture. Three other aliquots were pooled and
processed for differential cell counting after Diff-Quick staining. The
fifth aliquot was frozen and stored at − 20 °C (for the first 64 analyzed BALF samples) or immediately
processed (last five patients) for PM characterization.
PM Extraction and Concentration From BALF
Samples
The extraction procedure has been performed as previously
described (Kolosnjaj-Tabi et al.,
2010) with minor modifications. Briefly, frozen BALF
samples were unfrozen and centrifuged (3000 g/30 min) and pellets were
mixed with 4 mL of distilled water. The mixture was
vortexed for 2 min, stirred for 12 h,
then subjected to alternative sonication (15 min) and
vortexing (2 min, five times). After centrifugation, the
pellet was prepared for TEM examination by re-dispersion in 200 μL of purified water with sonication for 10 min. 3 μL of the resulting suspension was deposited onto
an ionized 400 mesh formvar-carbon-supported copper grid
or an amorphous silicon-coated TEM grid.
Airway Cells Preparation for HRTEM and EDX
analyses
Airway cells obtained from five non-frozen BALF samples were
centrifuged (1500 g/10 min) and fixed with 2% glutaraldehyde in 0.1 M, pH 7·4 sodium cacodylate buffer, post-fixed in 1%
osmium tetroxide in cacodylate buffer and put in 2% low-melting-point
agarose and PBS for one hour at 4 °C. Cells were
subsequently dehydrated with graded solutions of ethanol, impregnated with
hexa-methyl-phosphor-amide, and embedded in EPON resin and 3%
benzyl-dimethyl-amine. Cells were sectioned at 70 nm for
TEM and 40 nm for HRTEM and EDX.
Vehicle Exhaust and Dust Collection and
Preparation
Vehicle exhausts were collected with
a cotton swab from the edges of car exhaust pipes. The exhaust samples were
transferred into an Eppendorf tube and dispersed in 500 μL
of distilled water. The suspensions were sonicated (10 min) and vortexed (1 min). 3 μL of
each resulting suspension were then deposited onto grids and processed as
described for the BALF extracts.Dust was collected with a cotton swab
near the vent on the inner part of the window roller shutters located on the
second floor of a building situated by a national road in Antony (Southern
suburb of Paris) or located on the fifth floor in Nanterre (North Western
suburb of Paris) near a residential, minor trafficked street. The samples
were collected in July 2009 and July 2013 in households in flats with
central heating but with no passive or active smoking. Dust samples were
prepared and observed under the same conditions as the vehicle exhaust
samples.
PM Characterization
Extracted PM from unfrozen BALF samples and PM inside the
cells were first detected by TEM and then subjected to HRTEM, EDX, RS, and
NIRFM for further characterization.HRTEM and EDX analyses were performed with a JEOL ARM 200 F
microscope operating at 80 kV (Ricolleau et al., 2013) and equipped with
a CEOS aberration corrector, a cold field emission gun, and a JEOL EDX diode
(JED 2300T). In order to detect carbon-rich regions, the analyzed samples
were distributed on an amorphous silicon-coated TEM grid
(SIMPore®).
Measurement of Interlayer
Spacing
A statistician blindly analyzed the HRTEM micrographs with
Image J software (NIH, Bethesda, USA) in order to measure the interlayer
spacing of the nanostructures. The scale bar was set and fifteen lines were
drawn perpendicular to the fringes. The “Plot profile” function was used to
obtain a two-dimensional graph of the intensities of pixels along the linear
selections. The graph was then processed with Microsoft Excel.
Results
Broncho-Alveolar Fluids
Analysis
Firstly 64 randomly selected frozen BALF sample residues
were retrospectively analyzed.TEM micrographs of BALF extracts revealed a mixture composed
mainly of aggregated PM and filament-like structures (Fig. 1a). While the filaments, corresponding to residual
pulmonary surfactant, and most of aggregated material exhibited low electron
density at high magnification, some nanostructures remained electron dense
(Fig. 1b). At
high magnification these nanostructures revealed the presence of aggregated
carbon nanotube (CNT)-like structures (Fig. 1c) exhibiting diameters ranging from
10 to 60 nm and lengths of several hundred nm similar to
those of synthetic multi-walled carbon nanotubes (MWCNTs) (Zhu et al., 2003). In order to
investigate the origin of these structures, we analyzed vehicle exhaust and
dusts deposited in Paris area.
Fig. 1
TEM micrographs of BALF and dust extracts. (a, b) BALF
extracts. (c) Magnified view of (b). (d) PM from vehicle exhausts showing carbon
nanospherules (black arrows) and CNT-like structures (red arrows). (e, f) PM
from dust deposited near a busy traffic intersection in the Parisian area
showing nanospherules and CNT-like bundles (yellow arrows). Note the similarity
between the CNT-like structures observed in (d, e) and (c).
Vehicle Exhausts and Dust
Analysis
TEM analysis of the collected samples revealed three classes
of particles (Fig.
1d–f): nano-spherules, MWCNT-like structures similar to those
observed in the BALF extracts, and CNT-like bundles. The MWCNT-like
structures were more abundant in the dust than in the vehicle exhausts.
HRTEM (Fig.
2a–d) and EDX
microanalyses confirmed the carbonaceous nature of both nano-spherules and
MWCNT-like structures (> 67% elemental carbon)
(Fig.
2e).
Fig. 2
HRTEM micrographs and EDX analysis of PM from
Fig. 1. HRTEM of (a)
nanospherules revealing amorphous carbon features, and of (b) CNT-like
structures (Fig. 1, red
arrows). (c) Magnified view of (b) revealing interlayer spacing characteristic
of graphitic structures. (d) CNT-like structure (Fig. 1f, yellow arrows) showing interlayer
spacing of 0.70 ± 0.02 nm.
(e) Typical EDX spectrum and (e1, e2) HRTEM
micrographs of nanospherules and CNT-like structures. As the substrate is an
amorphous Si film, the carbon peak in the EDX spectrum arises exclusively from
the sample. (e3) Intensity profile measured between the two
arrows in image (e2) showing the characteristic interlayer
distance (0.33 nm) of multi-walled carbon
nanotubes.
HRTEM imaging revealed that, while the nano-spherules are
mostly made of amorphous carbon (Fig. 2a), the MWCNT-like structures (Fig. 2b, c,
e1, e2) exhibit two sets of alternating
parallel white and black fringes, similar to those observed in synthetic
MWCNTs (Zhu et al.,
2003) corresponding to graphite layers periodically
stacked as honeycomb (0002) planes oriented in a prismatic direction. The
interlayer spacing of 0.33 ± 0.02 nm (Fig.
2e3) authenticates the presence of
graphitic layers corresponding to actual MWCNT materials (and not just
“CNT-like” materials) in the samples. On the other hand, some CNT-like
structures (Fig. 2d)
exhibited an interlayer spacing of 0.70 ± 0.04 nm (n = 10)
suggesting the presence of single-walled carbon nanotube (SWCNT)
bundles.However, the presence of CNTs in BALF samples does not
provide categorical evidence that CNTs penetrate deeply into the alveoli to
reach lung cells. Indeed, at this stage, we have not observed CNTs inside
intact cells because BALF sample freezing lyses the cells. Since CNTs were
present in all examined BALF extracts, we hypothesized that the initial
intact cells of the 64 BALF samples had contained CNTs so that intact cells
in any fresh BALF sample should contain CNTs. To check this hypothesis, in a
second step we examined intact cells extracted from five randomly selected
(first to come) freshly collected BALF samples (without freezing) from
another set of patients.
Lung Cells Examination
Optical microscopy after Diff-Quick staining and TEM
revealed that all five unfrozen BALF samples contained several
black-material-laden AM (Fig.
3) exhibiting the same
features as those observed previously (Kulkarni et al., 2006). However, HRTEM
analyses revealed that most black material was lamellar bodies (LBs) filled
with oligo-lamellar surfactant layers (Schmitz and Muller, 1991) mainly composed
of aggregates of branched or concentric layers of phospholipids
(Fig. 3c, d).
Phospholipids cannot be mistaken for graphite layers because their
interlayer spacing is approximately 2 nm (Fig. 3e, f).
Fig. 3
Optical microscopy (OM), TEM, and HRTEM micrographs of
lung cells from Parisian asthmatic children. (a, b) OM after Diff-Quick staining
(magnification 100 ×) showing (arrows) lung cells containing
black material. (c) TEM micrograph of a lung cell (likely type II pneumocyte)
laden with black material mainly composed of lamellar bodies filled with
concentric phospholipid layers of oligolamellar surfactant as evidenced by (d)
TEM and (e, f) HRTEM of a black spot (the interlayer spacing is approximately
2 nm).
Nevertheless, further TEM examination revealed the presence
of PM-containing vacuoles (Fig.
4) inside some AM. Inside
these vacuoles the observed PMs are similar to those we observed in dusts
and vehicle exhaust samples, including nano-spherules, bundles of short and
long nanotubes (Fig.
4c–e), and well-dispersed MWCNTs (Fig. 4f).
Fig. 4
TEM micrographs of lung cells. (a–c) Lung cell, probably
an alveolar macrophage (N, nucleus) containing lamellar bodies (blue arrows) and
PM (black arrows: nanospherules; yellow arrows: CNT-like bundles; and red
arrows: MWCNTs,). (d–f) Magnification of (a–c). Note the similarity between the
nanostructures observed inside the cells and in BALF extracts, dust, and
vehicle-exhausts (Fig.
1).
EDX analyses of PM inside the cells mainly exhibited a
carbon signal (> 95%), which confirms its carbonaceous
nature (Fig.
5a). Inside the cells,
dispersed MWCNTs also exhibited the MWCNT-characteristic interlayer spacing
of 0.33 ± 0.02 nm.
While short bundles were straight (Fig. 5a1), long bundles were generally
turned and twisted (Fig.
5a2), which is probably due to growth
defects (Zhu et al.,
2003). The presence of CNTs inside the cells of five
freshly collected BALF samples confirms our hypothesis and shows that CNTs
penetrate lung cells of inhabitants in polluted areas.
Fig. 5
HRTEM, EDX, and NIRFM analyses of PM inside lung cells,
probably alveolar macrophages. (a) Typical EDX spectrum of
(a1–a3) PM inside vacuoles (the absence of
metal signals confirms the carbonaceous nature of these materials; the unlabeled
peaks correspond to silicon from the HRTEM grid). (b, c) Bright-field image and
NIR emission spectrum of a polarization-dependent SWCNT found in a BALF sample.
(d, e) Bright-field image and broadened NIR emission spectrum of a CNT found in
a lung cell. The sizes of the images in b and d are 50 × 70 μm.
Unlike LBs, which are mainly dispersed over large areas of
lung cells (Fig. 3c),
PMs were mostly found in isolated lysosomes of AM exhibiting only a few LBs
(Fig. 4a–c).
Table
1 summarizes the cell
counts of the five freshly collected BALF. While the percentage of
LBs-containing cells varied from 7.8 to 69.2% (median, 12.5%, n = 33 to 115 cells per BALF sample, median,
77 cells) of the examined cells, the percentage of CNT-containing cells
varied from 1.3 to 7.8% (median, 7.0%) and the percentage of
nano-spherules-containing cells varied from 2.1 to 7.7% (median, 3.9%).
However, the size of PM observed inside the cells never exceeded 2 μm in diameter (Fig.
4), and they were impossible to distinguish from LBs by
means of optical microscopy.
Table 1
BALF cell counts.
Patients
1
2
3
4
5
Age (months)
58
23
30
13
12
Cells/mL
170,000
680,000
240,000
410,000
400,000
Macrophages (%)
88
52
56
78
60
Lymphocytes (%)
8
12
17
15
13
Neutrophils (%)
1
36
27
7
23
Eosinophils (%)
3
0
0
0
4
Siderophages (%)
0
0
0
0
0
Number of observed cells
(by HRTEM)
115
48
80
33
77
Number of lamellar bodies
containing cells⁎
37
5
10
9
6
Lamellar bodies containing
cells (%)
32.2
10.4
12.5
69.2
7.8
Number of CNTs containing
cells⁎
8
1
1
1
6
CNT containing cells
(%)
7
2.1
1.3
7.7
7.8
Number of carbon
nanospherules containing cells⁎
3
1
5
1
3
Carbon nanospherules
containing cells (%)
2.6
2.1
6.3
7.7
3.9
Determined by High Resolution Transmission Electron
Microscopy (HRTEM).
Near-Infrared Fluorescence
Microscopy
To look for the presence of semi-conducting SWCNTs among the
amounts of CNTs found in the BALF and cell samples, we have used NIRFM to
scan five different AM samples. Only two of the five examined samples showed
an NIR emission spectrum at all, although all five samples showed CNTs in
both TEM and HRTEM micrographs. These samples exhibited multiple emissive
spots that had significant excitation polarization dependence (> 50% intensity change) (Fig. 5b–e), but only one sample exhibited
NIR emission that completely disappeared with the changing of laser
polarization (Fig.
5c), a phenomenon characteristic only of semiconducting
SWCNTs (Cherukuri et al.,
2004).
Raman Spectroscopy
Due to the scarcity and small sizes of the PM inside the
cells, the signals obtained by Raman spectroscopy of several samples were
very weak and non-informative.
Discussion
Among different indoor and outdoor combustion-derived airborne
PM, carbonaceous particles represent an important fraction of pollutants
(Cherukuri et al., 2004, Murr et al., 2004, Murr and Guerrero, 2006). These
generally contain amorphous carbon, but, interestingly, may also contain carbon
nanotubes (CNTs) and fullerenes (Murr et al., 2004, Murr and Guerrero, 2006, Lagally et al., 2012). Such findings suggest that humans may
have always been exposed to CNTs. However, it is unknown whether, and to what
extent, CNTs penetrate the lower respiratory tract.In 2010 a study reported that CNTs were extracted from the lungs
of the victims of the World Trade Center attack (Wu et al., 2010). However, this report cannot
be generalized to environmental exposure. In addition, samples were only
observed by low magnification TEM, which may not provide conclusive evidence,
and CNTs were not visualized inside the cells.To characterize CNTs, only a limited number of techniques are
useful (Belin and Epron,
2005). Only HRTEM and scanning tunneling microscopy are able
to characterize CNTs at the individual level. EDX is needed to characterize the
elemental composition of CNTs, while neutron and X-ray diffraction, NIRFM and
Raman spectroscopy are global characterization techniques (Belin and Epron, 2005).Here we used EDX, to assess the elemental composition of the PM
found in broncho-alveolar lavage fluids and inside the cells of asthmatic
Parisian children, and HRTEM was used to unambiguously characterize MWCNTs among
these PMs.PMs were first retrospectively assessed in 64 broncho-alveolar
lavage fluid extracts by optical microscopy, TEM, HRTEM and EDX. To confirm
these findings, the same techniques were prospectively used to analyze the PM
observed inside the intact cells of 5 additional freshly collected BALF
samples.Taken together, our results show that PM is mostly composed of
anthropogenic MWCNTs in all analyzed samples. These results also show that PM is
impossible to distinguish from LBs by optical microscopy. Thus, results of
previous studies, where carbon content of AMs was assessed by optical microscopy
only (Kulkarni et al., 2006, Brugha et al., 2014), need to be reconsidered. TEM can be
used to detect CNT-like structures, but this demands a highly trained
person.In order to look for the presence of some SWCNTs among CNTs
found inside the cells, we also used NIRFM. NIRFM data were positive for two of
the five examined fresh BALF samples. Although only individualized
semiconducting SWCNTs are NIRF emissive (Cherukuri et al., 2004), these observations
strongly support the presence of SWCNTs in some of the samples.Although the number of examined samples is limited, the
detection of CNTs in human samples presented in this study is significant
because: 1) CNTs were present in all randomly selected samples, and 2) the
MWCNTs observed in the lungs of Parisian children are similar to those detected
in dust and vehicle exhaust samples collected in the Parisian area as well as to
synthetic MWCNTs (Zhu et al.,
2003), to MWCNTS found in ambient air samples collected in El
Paso and Houston (USA) (Murr et al., 2004, Murr and Guerrero, 2006), and those trapped in
domestic spider webs in Kanpur (India) (Sonkar et al., 2009).Dusts were first collected near high-traffic roads. We observed
no obvious correlation between the amounts of CNTs found in BALF samples with
the distances of children's households from these roads: these amounts were
comparable for children who lived the farthest (15 km) and
those who lived the closest (1.5 km). Furthermore, the dusts
collected near very low-traffic roads contained impressively high amounts of
carbon nanoparticles quite comparable to those found near high-traffic
roads.Since CNTs from anthropogenic sources may be present in indoor
and outdoor air, and since air pollutants may be transported via the atmosphere,
we expect that humans routinely breathe such carbon nanoparticles. While TEM has
previously been used to detect carbonaceous particles inside human cells
(Bunn et al., 2001),
the authors only detected some carbon nano-spherules similar to those we
observed. This is probably due to the fact that CNTs were not expected at the
time. To the best of our knowledge, this is the first study showing that CNTs
from anthropogenic sources reach human lung cells.It is now well established that long MWCNTs (Poland et al., 2008), as well as
large CNT-aggregates of short CNTs (Kolosnjaj-Tabi et al., 2010), can induce granuloma formation
in animal models. At this stage, the sizes of CNTs we observed are not large
enough to induce such granuloma formation. However, it is also well established
that CNTs due to their large specific surface and chemical characteristics can
adsorb a large variety of substances from gases and metals to large and small
molecules (Ren et al.,
2011). Thus, they may act as efficient vectors for air
pollutants.In addition, we wish to emphasize that in contrast to previous
studies (Kulkarni et al.,
2006) the main objective of this work was to characterize the
PM found in the lungs of Parisian children and not to establish any link between
the presence of PM in the BALF samples and the asthma condition of the
examinees. Due to low concentrations of PM inside the cells it is impossible, at
this time, to accurately quantify the carbon content of the lung
cells.Alveolar macrophages phagocytosis may be impaired in asthmatic
patients (Brugha et al.,
2014) (i.e. the loading of CNTs seen in this population may
be less than for normal children), and asthmatic persons may have an altered
deposition pattern. Besides, children deposition pattern may significantly
differ from the adult ones. Thus, if CNTs are present in all examined BALFs from
asthmatic children they should be present in healthy persons who have less
difficulty in breathing. Thus, it is reasonable to conclude that modern humans
are being routinely exposed to airborne CNT materials derived from anthropogenic
sources.
Conclusions
We show here that CNTs are the main component of inhaled PM. We
also show that PMs inside the cells are impossible to distinguish from lamellar
bodies by optical microscopy alone. This strongly suggests that previous
studies, linking the carbon content of airway macrophages and the decline of
lung function, should be reconsidered.Our data show that in order to detect carbon nanoparticles in a
biological or an environmental sample; first it is necessary to use TEM in order
to localize the suspected entities. Then EDX must be used to confirm the
elemental composition. To identify MWCNTs among carbon nanoparticles, it is
necessary to use HRTEM to measure interlayer distances. Finally, NIRFM is the
most appropriate method to identify semiconducting individualized
SWCNTs.The scarcity of the observed PMs inside the cells is in line
with recent reports showing that long-term exposure to fine particulate air
pollution was associated with adverse health effects, even within very low
concentration ranges (Beelen et al.,
2014). Although the toxicity of carbon nanotubes is still a
matter of debate, it is well established that long carbon nanotubes
(Poland et al.,
2008) and large aggregates of short ones (Kolosnjaj-Tabi et al., 2010) can
induce a granulomatous reaction. Based on asbestos-like pathogenicity, it is
believed that bio-persistent fiber-shaped nanomaterials that deposit in the
lungs can cause oxidative stress and inflammation and could translocate to the
pleura, ultimately leading to fibroplasia and neoplasia in the lungs and the
pleura (Guarnieri and Balmes,
2014). Current research suggests that fibrous shape of carbon
nanotubes could elicit effects similar to asbestos (Guarnieri and Balmes, 2014). Although the size
of the observed carbon nanotubes inside lung cells at this time is not large
enough to induce granuloma formation, their presence urgently requires more
information on their fate and toxicity.
Authors' Contributions
J.K.T., K.B.H, S.B., D.A., L.J.W., and F.M. performed research
and analyzed the data.J.J. and L.Y. managed asthmatic children and collected BALF
samples.F.M. designed the research. J.K.T., L.J.W., H.S., and FM wrote
the paper.All authors discussed the results and commented on the
manuscript.
Declaration of Interests
We claim that none of the authors has any conflict of
interest.
Role of Funding Source and Ethics Committee
Approval
Funding for basic research from The Welch Foundation (Grant
C-0627) to Lon J. Wilson at Rice University, Houston, Texas, USA. The Welsh
Foundation is a non-profit foundation for basic chemical research.The Ethic committee of the Armand Trousseau La Roche-Guyon
hospital informed us in writing (See attached corresponding file) that the used
protocol does not need any approval because broncho-alveolar lavages are used in
France as part of clinical management of asthma.
Funding
The Welch Foundation partially supported this work (Grant
C-0627).
Authors: Jelena Kolosnjaj-Tabi; Keith B Hartman; Sabah Boudjemaa; Jeyarama S Ananta; Georges Morgant; Henri Szwarc; Lon J Wilson; Fathi Moussa Journal: ACS Nano Date: 2010-03-23 Impact factor: 15.881
Authors: Rob Beelen; Ole Raaschou-Nielsen; Massimo Stafoggia; Zorana Jovanovic Andersen; Gudrun Weinmayr; Barbara Hoffmann; Kathrin Wolf; Evangelia Samoli; Paul Fischer; Mark Nieuwenhuijsen; Paolo Vineis; Wei W Xun; Klea Katsouyanni; Konstantina Dimakopoulou; Anna Oudin; Bertil Forsberg; Lars Modig; Aki S Havulinna; Timo Lanki; Anu Turunen; Bente Oftedal; Wenche Nystad; Per Nafstad; Ulf De Faire; Nancy L Pedersen; Claes-Göran Östenson; Laura Fratiglioni; Johanna Penell; Michal Korek; Göran Pershagen; Kirsten Thorup Eriksen; Kim Overvad; Thomas Ellermann; Marloes Eeftens; Petra H Peeters; Kees Meliefste; Meng Wang; Bas Bueno-de-Mesquita; Dorothea Sugiri; Ursula Krämer; Joachim Heinrich; Kees de Hoogh; Timothy Key; Annette Peters; Regina Hampel; Hans Concin; Gabriele Nagel; Alex Ineichen; Emmanuel Schaffner; Nicole Probst-Hensch; Nino Künzli; Christian Schindler; Tamara Schikowski; Martin Adam; Harish Phuleria; Alice Vilier; Françoise Clavel-Chapelon; Christophe Declercq; Sara Grioni; Vittorio Krogh; Ming-Yi Tsai; Fulvio Ricceri; Carlotta Sacerdote; Claudia Galassi; Enrica Migliore; Andrea Ranzi; Giulia Cesaroni; Chiara Badaloni; Francesco Forastiere; Ibon Tamayo; Pilar Amiano; Miren Dorronsoro; Michail Katsoulis; Antonia Trichopoulou; Bert Brunekreef; Gerard Hoek Journal: Lancet Date: 2013-12-09 Impact factor: 79.321
Authors: E Zemp; S Elsasser; C Schindler; N Künzli; A P Perruchoud; G Domenighetti; T Medici; U Ackermann-Liebrich; P Leuenberger; C Monn; G Bolognini; J P Bongard; O Brändli; W Karrer; R Keller; M H Schöni; J M Tschopp; B Villiger; J P Zellweger Journal: Am J Respir Crit Care Med Date: 1999-04 Impact factor: 21.405
Authors: Stephen S Lim; Theo Vos; Abraham D Flaxman; Goodarz Danaei; Kenji Shibuya; Heather Adair-Rohani; Markus Amann; H Ross Anderson; Kathryn G Andrews; Martin Aryee; Charles Atkinson; Loraine J Bacchus; Adil N Bahalim; Kalpana Balakrishnan; John Balmes; Suzanne Barker-Collo; Amanda Baxter; Michelle L Bell; Jed D Blore; Fiona Blyth; Carissa Bonner; Guilherme Borges; Rupert Bourne; Michel Boussinesq; Michael Brauer; Peter Brooks; Nigel G Bruce; Bert Brunekreef; Claire Bryan-Hancock; Chiara Bucello; Rachelle Buchbinder; Fiona Bull; Richard T Burnett; Tim E Byers; Bianca Calabria; Jonathan Carapetis; Emily Carnahan; Zoe Chafe; Fiona Charlson; Honglei Chen; Jian Shen Chen; Andrew Tai-Ann Cheng; Jennifer Christine Child; Aaron Cohen; K Ellicott Colson; Benjamin C Cowie; Sarah Darby; Susan Darling; Adrian Davis; Louisa Degenhardt; Frank Dentener; Don C Des Jarlais; Karen Devries; Mukesh Dherani; Eric L Ding; E Ray Dorsey; Tim Driscoll; Karen Edmond; Suad Eltahir Ali; Rebecca E Engell; Patricia J Erwin; Saman Fahimi; Gail Falder; Farshad Farzadfar; Alize Ferrari; Mariel M Finucane; Seth Flaxman; Francis Gerry R Fowkes; Greg Freedman; Michael K Freeman; Emmanuela Gakidou; Santu Ghosh; Edward Giovannucci; Gerhard Gmel; Kathryn Graham; Rebecca Grainger; Bridget Grant; David Gunnell; Hialy R Gutierrez; Wayne Hall; Hans W Hoek; Anthony Hogan; H Dean Hosgood; Damian Hoy; Howard Hu; Bryan J Hubbell; Sally J Hutchings; Sydney E Ibeanusi; Gemma L Jacklyn; Rashmi Jasrasaria; Jost B Jonas; Haidong Kan; John A Kanis; Nicholas Kassebaum; Norito Kawakami; Young-Ho Khang; Shahab Khatibzadeh; Jon-Paul Khoo; Cindy Kok; Francine Laden; Ratilal Lalloo; Qing Lan; Tim Lathlean; Janet L Leasher; James Leigh; Yang Li; John Kent Lin; Steven E Lipshultz; Stephanie London; Rafael Lozano; Yuan Lu; Joelle Mak; Reza Malekzadeh; Leslie Mallinger; Wagner Marcenes; Lyn March; Robin Marks; Randall Martin; Paul McGale; John McGrath; Sumi Mehta; George A Mensah; Tony R Merriman; Renata Micha; Catherine Michaud; Vinod Mishra; Khayriyyah Mohd Hanafiah; Ali A Mokdad; Lidia Morawska; Dariush Mozaffarian; Tasha Murphy; Mohsen Naghavi; Bruce Neal; Paul K Nelson; Joan Miquel Nolla; Rosana Norman; Casey Olives; Saad B Omer; Jessica Orchard; Richard Osborne; Bart Ostro; Andrew Page; Kiran D Pandey; Charles D H Parry; Erin Passmore; Jayadeep Patra; Neil Pearce; Pamela M Pelizzari; Max Petzold; Michael R Phillips; Dan Pope; C Arden Pope; John Powles; Mayuree Rao; Homie Razavi; Eva A Rehfuess; Jürgen T Rehm; Beate Ritz; Frederick P Rivara; Thomas Roberts; Carolyn Robinson; Jose A Rodriguez-Portales; Isabelle Romieu; Robin Room; Lisa C Rosenfeld; Ananya Roy; Lesley Rushton; Joshua A Salomon; Uchechukwu Sampson; Lidia Sanchez-Riera; Ella Sanman; Amir Sapkota; Soraya Seedat; Peilin Shi; Kevin Shield; Rupak Shivakoti; Gitanjali M Singh; David A Sleet; Emma Smith; Kirk R Smith; Nicolas J C Stapelberg; Kyle Steenland; Heidi Stöckl; Lars Jacob Stovner; Kurt Straif; Lahn Straney; George D Thurston; Jimmy H Tran; Rita Van Dingenen; Aaron van Donkelaar; J Lennert Veerman; Lakshmi Vijayakumar; Robert Weintraub; Myrna M Weissman; Richard A White; Harvey Whiteford; Steven T Wiersma; James D Wilkinson; Hywel C Williams; Warwick Williams; Nicholas Wilson; Anthony D Woolf; Paul Yip; Jan M Zielinski; Alan D Lopez; Christopher J L Murray; Majid Ezzati; Mohammad A AlMazroa; Ziad A Memish Journal: Lancet Date: 2012-12-15 Impact factor: 79.321
Authors: Craig A Poland; Rodger Duffin; Ian Kinloch; Andrew Maynard; William A H Wallace; Anthony Seaton; Vicki Stone; Simon Brown; William Macnee; Ken Donaldson Journal: Nat Nanotechnol Date: 2008-05-20 Impact factor: 39.213
Authors: Anoop S V Shah; Jeremy P Langrish; Harish Nair; David A McAllister; Amanda L Hunter; Ken Donaldson; David E Newby; Nicholas L Mills Journal: Lancet Date: 2013-07-10 Impact factor: 79.321
Authors: Anagha Malur; Arjun Mohan; Robert A Barrington; Nancy Leffler; Amrita Malur; Barbara Muller-Borer; Gina Murray; Kim Kew; Chuanzhen Zhou; Josh Russell; Jacob L Jones; Christopher J Wingard; Barbara P Barna; Mary Jane Thomassen Journal: Am J Respir Cell Mol Biol Date: 2019-08 Impact factor: 6.914
Authors: Anagha Malur; Barbara P Barna; Janki Patel; Matthew McPeek; Christopher J Wingard; Larry Dobbs; Mary Jane Thomassen Journal: J Nanomed Nanotechnol Date: 2015-12-27
Authors: Jaison Jeevanandam; Ahmed Barhoum; Yen S Chan; Alain Dufresne; Michael K Danquah Journal: Beilstein J Nanotechnol Date: 2018-04-03 Impact factor: 3.649