Literature DB >> 28663314

The asbestos fibre burden in human lungs: new insights into the chrysotile debate.

Inke Sabine Feder1, Iris Tischoff1, Anja Theile1, Inge Schmitz2, Rolf Merget3, Andrea Tannapfel1.   

Abstract

The traceability of asbestos fibres in human lungs is a matter of discussion especially for chrysotile. This issue is of high significance for differential diagnosis, risk assessment and occupational compensation. At present no intra-individual longitudinal information is available. This study addresses the question whether the asbestos fibre burden in human lungs decreases with time after exposure cessation.The database of the German Mesothelioma Register was screened for patients with asbestos body counts of at least 500 fibres per gram of wet lung, which had been analysed twice from different tissue excisions at minimum intervals of 4 years.Twelve datasets with individual longitudinal information were discovered with a median interval of about 8 years (range 4-21 years). Both examinations were performed after exposure cessation (median: surgery, 9.5 years; autopsy, 22 years). Pulmonary asbestos fibre burden was stable between both examinations (median 1623/4269 asbestos bodies per gram wet lung). Electron microscopy demonstrated a preponderance of chrysotile (median 80%).This study is the first to present longitudinal intra-individual data about the asbestos fibre burden in living human lungs. The high biopersistence of amphiboles, but also of chrysotile, offers mechanistic explanations for fibre toxicity, especially the long latency period of asbestos-related diseases.
Copyright ©ERS 2017.

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Year:  2017        PMID: 28663314      PMCID: PMC5898940          DOI: 10.1183/13993003.02534-2016

Source DB:  PubMed          Journal:  Eur Respir J        ISSN: 0903-1936            Impact factor:   16.671


Introduction

The major health hazards associated with asbestos are fibrogenicity and carcinogenicity, with lung cancer and mesothelioma as the main representatives. It has been shown that the risk of developing mesothelioma or lung cancer increases proportionally to the asbestos fibre burden of the lungs [1], and also the extent of pleural plaques has been found to be associated with fibre numbers in lung tissue [2]. Thus fibre clearance and biopersistence are considered the most important factors for diagnosis and risk assessment of malignant and non-malignant diseases. The latency period from first asbestos exposure to the manifestation of an asbestos-induced disease may be 10–60 years with shorter times for asbestosis and plaques and longer times for lung cancer and mesothelioma. Thus an asbestos-related disease might occur a long time after exposure cessation. Therefore, the question of the traceability of asbestos fibres in lungs tissue after prolonged intervals is of significance, e.g. for the differentiation of asbestosis and further fibrotic lung diseases, such as idiopathic pulmonary fibrosis (IPF) [3, 4]. In this context lung dust analysis is considered a valuable tool [5, 6]. Asbestos fibre analyses in the lungs of asbestos-exposed workers have a long tradition in establishing a link between exposure and disease [7]. The tissue is digested, the digestate collected on a membrane filter and fibres are counted by light microscopy, phase-contrast or scanning electron microscopy (SEM). Transmission electron microscopy (TEM) may also be used. In addition, the fibre type can be analysed with energy-dispersive X-ray (EDX) microanalysis [6]. It is important to know that for assessing the asbestos fibre burden a laboratory should be well experienced, have a standardised protocol and established reference values using the same method [6]. It is well known that chrysotile fibre numbers in the human lungs are lower than amphibole fibre numbers [8-11], although chrysotile was more frequently used in industry. This may be explained by the fact that chrysotile fibres tend to fray, are very flexible and disintegrate if exposed to acids [12], thus accelerated clearance of inhaled chrysotile fibres from the lungs sounds plausible [13]. Although the hazardous nature of amphibole fibres is not challenged [8, 14], the impact of chrysotile fibres is a matter of discussion [15, 16] and further research is needed [17]. Using diverse approaches, the persistence of asbestos fibres was investigated in experimental animal studies [18, 19]. Investigations in humans were performed in asbestos miners in Canada [8, 14] and Australia [20] using analytical electron microscopy for fibre counts and conventional light microscopy for asbestos bodies. Asbestos concentrations found in the air in the working environment were related to fibre concentrations in lung tissue from autopsies. In another study autopsy samples from different patients with different periods of exposure cessation were compared [21]. All these studies suffer from the fact that they have no measured starting point of the asbestos fibre burden in the human lung tissue to compare their results to because of their cross-sectional design. Instead of obtaining the half-lives of asbestos fibres by approximation and extrapolation [8, 14, 20], the aim of the present study was to present data based on longitudinal intra-individual asbestos quantitation that was performed in the lung tissues of patients with asbestos diseases over intervals of several years. Our samples are taken from different tissue excisions from the same patient. The asbestos fibre burden has been counted by phase contrast microscopy routinely. Additionally an EDX analysis has been done to determine the asbestos fibre type.

Material and methods

The research was conducted according to the principles of the Declaration of Helsinki. Tissue removal occurred for medical reasons only or was carried out during autopsies requested by insurance companies. Relatives gave consent for all autopsies.

Data screening

The German Mesothelioma Register had 23 955 datasets available with asbestos body counts performed during routine examinations of lung tissue samples or bronchoalveolar lavage (BAL) generated between 1987 and 2015. This data set was filtered for the following criteria (see also figure 1):
FIGURE 1

Scheme of patient selection. Flow process chart showing how the register's database has been filtered. AB: asbestos bodies.

1) Results of asbestos body counts had to be available. 2) Earlier asbestos fibre burden from surgery or bronchoalveolar lavage had to be available. 3) The highest asbestos body count had to be above 500 fibres per gram of wet lung tissue. This filter ensured a relevant asbestos fibre burden to study a potential decrease of the asbestos concentration in the lung tissues. According to Roggli and Pratt [22], 200 asbestos bodies per gram of wet lung tissue correspond to two asbestos bodies in a histological specimen of 2×2 cm at a 5 µm section thickness. In Germany at least two asbestos bodies in a specimen of 1×1 cm are required for the histological diagnosis of asbestosis [23]. Given a section thickness of 2–4 µm and two to four section specimens, this is equivalent to about 500 asbestos bodies per gram of wet lung tissue evaluated in lung dust analysis. 4) Analyses were from different tissue excisions with a time interval of at least 4 years. Scheme of patient selection. Flow process chart showing how the register's database has been filtered. AB: asbestos bodies.

Histology

Histopathological evaluation was performed by a pathologist who was highly experienced in the assessment of asbestos-induced changes. Asbestosis grading followed national [24] and international criteria [6, 25], i.e. primarily the Helsinki Criteria [5, 26].

Analysis of the asbestos fibre burden in lung tissues or BAL

Lung dust analysis was performed using established methods [27, 28] and is described in detail in the guideline on the diagnosis and medical appraisal of asbestos-associated diseases [23]. Briefly, formalin-fixed lung tissue samples or lavage fluid were digested using 12% sodium hypochlorite. The lysate was filtered through a 2 µm Millipore nitrocellulose membrane and examined under a light microscope in a meandering pattern using ×200 or ×400 magnification and phase contrast. Fibres where analysed by transmitted and polarised light. Asbestos bodies, pseudo-asbestos bodies, asbestos fibres and structures with a non-identifiable core fibre were counted separately [29]. For comparability of the data, all counts provided in the original historical counting protocol were calculated to gram of wet lung tissue. In the following, all concentrations for asbestos bodies/asbestos fibres are per gram of wet lung tissue. In view of the heterogeneous distribution of asbestos bodies in lung tissue [29], the content of asbestos fibres was determined at least in duplicate whenever sufficient tissue was available. In autopsy cases, analyses were performed in the upper and lower lobes of either side if possible. Care was taken to include healthy tumour-free lung parenchyma in the ashing analysis [28-30]. The sample with the highest asbestos body concentration determined was used in all cases [23].

Electron microscopy

Electron microscopic analysis was performed by field energy (FE)-SEM (Carl-Zeiss AG, Oberkochen, Germany), as described previously [31], and TEM (JEOL Ltd, Tokyo, Japan), both coupled with an EDX analysis system. For TEM the digestate was filtered through carbon-coated polycarbonate filters. Samples were cut out and placed onto a grid, then the filter was collapsed with chloroform and finally grids were evaporated using a second thin layer of carbon. We carried out qualitative analyses only for the purpose of identifying the nature of the asbestos fibres. This analysis included both fibres that were longer or shorter than 5 µm.

Results

The database research generated a collective of 12 patients with longitudinal data of the asbestos fibre burden. Tissue removal was due to a suspected tumour (58.3%), to pleural thickening (16.7%) or to lung fibrosis of unknown origin (8.3%). In 16.7% of samples, a former BAL was available (table 1). The tissues were obtained in 50% from the right lung and in 25% from the left lung. No sampling site was given in 8.3%, and 16.7% were from BAL. The first tissue excision/BAL with fibre analysis had been performed between 1987 and 2011. At this time the patients' last exposure to asbestos dated back 3–29 years (median 9.5 years).
TABLE 1

Fibre analyses at surgery and autopsy in comparison with corresponding time intervals to exposure cessation

PatientYears from last exposure to surgeryMaxAB/gFW surgeryYears from last exposure to autopsyMaxAB/gFW autopsyYears from surgery to autopsyFibre type (% chrysotile) FE-SEMFibre type (% chrysotile) TEM
1101900247141410%15%
291281#30279212135%30%
3>6431>14800880%70%
4201167245347495%90%
5>32435>1131908NDND
6>7605>1316826NDND
7945281656127NDND
89643316391217NDND
9>129750>20536638NDND
102413463312699NDND
11203.43318631380%67%
122910.337165347885%90%
Median∼9.51623∼224269880%69%
Mean298825544

Occupational histories were obtained from clinicians or insurance. Approximations are indicated by > (greater) if exact data are missing. In these cases exposure cessation was assumed to retirement age or the asbestos ban in Europe 1993 respectively as the latest. The actual end might have been earlier. Time intervals are also shown in figure 2, fibre analysis results referring to their corresponding time interval are illustrated in figure 3. Here only the highest asbestos body count from each patient is given. See supplementary material for details. Amphibole and chrysotile fibres were detected by energy-dispersive X-ray analysis for their elemental composition; here the percentage of chrysotile fibres is given after FE-SEM and TEM analysis. #: tissue with active tuberculosis, thus fibre count may be underestimated. ¶: Patients without lung tissue; values represent asbestos bodies per mL of bronchoalveolar lavage (BAL) fluid and were not considered for the calculation of mean and medians of the asbestos fibre burden. Max: maximum; AB: asbestos bodies; FW: fresh weight; ND: not done.

Fibre analyses at surgery and autopsy in comparison with corresponding time intervals to exposure cessation Occupational histories were obtained from clinicians or insurance. Approximations are indicated by > (greater) if exact data are missing. In these cases exposure cessation was assumed to retirement age or the asbestos ban in Europe 1993 respectively as the latest. The actual end might have been earlier. Time intervals are also shown in figure 2, fibre analysis results referring to their corresponding time interval are illustrated in figure 3. Here only the highest asbestos body count from each patient is given. See supplementary material for details. Amphibole and chrysotile fibres were detected by energy-dispersive X-ray analysis for their elemental composition; here the percentage of chrysotile fibres is given after FE-SEM and TEM analysis. #: tissue with active tuberculosis, thus fibre count may be underestimated. ¶: Patients without lung tissue; values represent asbestos bodies per mL of bronchoalveolar lavage (BAL) fluid and were not considered for the calculation of mean and medians of the asbestos fibre burden. Max: maximum; AB: asbestos bodies; FW: fresh weight; ND: not done.
FIGURE 2

Time course of events. Illustration of birth, duration of exposure and time interval between tissue excisions/bronchoalveolar lavage (first fibre analysis from surgery, second fibre analysis from autopsy) in comparison to asbestos consumption in Germany. t: tons. Data source of asbestos consumption: [32].

FIGURE 3

Results of fibre analyses at surgery (first tissue excision) and autopsy (second tissue excision) in relation to time from 10 patients. From these 10 patients the asbestos fibre burden of the lung has been determined from tissue both times. Two patients with fibre analysis from a bronchoalveolar lavage are not considered here. Illustrated are the results of the highest asbestos body count in relation to time (a) and all asbestos body counts from one patient's lungs separately (b). The corresponding time interval is already illustrated in figure 2 and listed in table 1. It is easily seen in (b) that the counts from surgery are within the range of the counts from autopsy. For two patients the lower count from surgery tissue could be explained histologically (supplementary material). Patient 2 had tuberculosis in the first tissue and patient 6 had fibrosis with a multi-etiological clinical picture with an asbestos-dependent and an asbestos-independent component (see supplementary material for details).

Autopsies including fibre analysis for all patients were performed between 1996 and 2015 in the context of insurance enquiries. Age at death ranged from 62 to 82 years (median 76.5 years). Tumour recurrences were found in 25%; in 8.3% a second primary tumour was diagnosed, and peritoneal mesothelioma had developed in another 8.3%. In 16.7% asbestosis grade III was diagnosed, but grade I diseases dominated (58.3%) (table 2). All patients with higher grade asbestoses had severe pleural complications, including extensive plaques with rounded or plate atelectases, diffuse pleural fibrosis, hyalinosis complicata, lung encasement and pleural thickening because of recurrent pleurisy. All patients died of their asbestos-related disease. The complete findings are listed in the supplementary material. Occupational history is listed in table 2. The time course of events is illustrated in figure 2.
TABLE 2

Data of patients and pathologic autopsy findings

PatientAge of deathSexProfession/businessYears of exposureMain disease at autopsy and histologic grade of asbestosis
178MShip's carpenter, dock/transport worker39Small cell lung cancer, asbestosis grade I
265MPressing plant15Asbestosis grade I
376MSeaman∼40Local recurrence of bronchioloalveolar carcinoma, asbestosis grade I
462MWelder, assembly fitter15Hyalinosis complicata, asbestosis grade III, pneumonia
565MPapermaker∼40Local recurrence of adenocarcinoma, asbestosis grade I
670MJoiner at shipyard∼40Multi-etiological fibrosis with asbestosis, pneumonia
779MInsulation lagger in shipbuilding49Hyalinosis complicata, atrophy of both lungs, asbestosis grade II
877MMetalworker, smith and boiler welder30Metastasized squamous cell carcinoma, pleural callosity, asbestosis grade II
982MMetalworker, heating fitter20Biphasic mesothelioma of the peritoneum, asbestosis grade III
1075MVarnisher on shipyard, tank cleaner, sandblaster operator18Complex lung disease, asbestosis grade II
1180MMetalworker in metallurgical plant>14Bronchitis, emphysema, asbestosis grade I
1282MPlumber, insulator in power plant30Complex lung disease with atelectasis, pleurisy, pleural callosity, asbestosis grade I
Median76.5∼30

Occupational histories were obtained from clinicians or insurance. Occupations without exposure to asbestos are not listed in the table. Exposure times are also included in figure 2. Approximations are indicated by >(greater) and ∼(approximately) if exact data are missing. All patients had pleural plaques at autopsy. Detailed diagnoses may be found in the supplementary material. M: Male.

Time course of events. Illustration of birth, duration of exposure and time interval between tissue excisions/bronchoalveolar lavage (first fibre analysis from surgery, second fibre analysis from autopsy) in comparison to asbestos consumption in Germany. t: tons. Data source of asbestos consumption: [32]. Data of patients and pathologic autopsy findings Occupational histories were obtained from clinicians or insurance. Occupations without exposure to asbestos are not listed in the table. Exposure times are also included in figure 2. Approximations are indicated by >(greater) and ∼(approximately) if exact data are missing. All patients had pleural plaques at autopsy. Detailed diagnoses may be found in the supplementary material. M: Male. The time period between tissue removals varied from 4 to 21 years (median 8 years). Taking the maximum count from each patient the first analysis produced a median of 1623 (431–9750), and the second analysis of 4269 (714–53 663) asbestos bodies per gram of wet lung tissue (table 1). Taking all counts from one analysis into consideration the pulmonary asbestos body concentration showed a median of 1313 (49–9750) in the first tissue excision and 2018 (198–53 663) in the second one (figure 3). The median pulmonary asbestos fibre concentration (total of asbestos bodies and bare fibres ) was 1623 at surgery and 2202 at autopsy (supplementary material). For the whole group there was no relevant decrease in the asbestos fibre burden over the investigated time (p=0.9863, one-sided Wilcoxon signed rank test). In only 8% the result of the asbestos body count from autopsy was below the sample obtained during surgery. Here, amphibole asbestos was the dominant fibre type at autopsy (table 1, figure 4).
FIGURE 4

Amphibole-fibre with the corresponding spectra obtained by energy-dispersive X-ray (EDX) analysis. a) Field emission scanning electron microscopic image from an edged fibre extracted from lung tissue of an asbestos exposed patient. The fibre is greater than 5 µm and thinner than 3 µm. 10 000-fold magnification. b) The EDX spectra of the fibre with magnesium (Mg), silicon (Si) and iron (Fe). The elemental composition and morphology of the fibre is typical for amphibole. The gold (Au) signal originates from the filter and should be ignored. c) Transmission electron microscopy image of an amphibole fibre with residual macrophage body and the corresponding EDX spectra (d). The copper (Cu) signal originates from the grid and should be ignored.

Results of fibre analyses at surgery (first tissue excision) and autopsy (second tissue excision) in relation to time from 10 patients. From these 10 patients the asbestos fibre burden of the lung has been determined from tissue both times. Two patients with fibre analysis from a bronchoalveolar lavage are not considered here. Illustrated are the results of the highest asbestos body count in relation to time (a) and all asbestos body counts from one patient's lungs separately (b). The corresponding time interval is already illustrated in figure 2 and listed in table 1. It is easily seen in (b) that the counts from surgery are within the range of the counts from autopsy. For two patients the lower count from surgery tissue could be explained histologically (supplementary material). Patient 2 had tuberculosis in the first tissue and patient 6 had fibrosis with a multi-etiological clinical picture with an asbestos-dependent and an asbestos-independent component (see supplementary material for details). Amphibole-fibre with the corresponding spectra obtained by energy-dispersive X-ray (EDX) analysis. a) Field emission scanning electron microscopic image from an edged fibre extracted from lung tissue of an asbestos exposed patient. The fibre is greater than 5 µm and thinner than 3 µm. 10 000-fold magnification. b) The EDX spectra of the fibre with magnesium (Mg), silicon (Si) and iron (Fe). The elemental composition and morphology of the fibre is typical for amphibole. The gold (Au) signal originates from the filter and should be ignored. c) Transmission electron microscopy image of an amphibole fibre with residual macrophage body and the corresponding EDX spectra (d). The copper (Cu) signal originates from the grid and should be ignored. Electron microscopic analyses of all available samples were done (n=6). In 33.3% of samples mainly amphibole was found by FE-SEM/EDX analysis (65% to 90%) (table 1, figure 4), but in the other 66.7% chrysotile was the dominant asbestos fibre (at different percentages of 80% to 95%) (table 1, figure 5). When the fibre analysis was done by TEM, the percentages varied a little bit but the statement was confirmed (table 1). The proportion of chrysotile fibres did not correlate with the duration of asbestos exposure (p=0.65; rho –0.24, Spearman's rank correlation) or with the time interval between last asbestos exposure and tissue analyses (p=0.74; rho 0.18 Spearman's rank test).
FIGURE 5

Chrysotile fibre with the corresponding spectra obtained by energy-dispersive X-ray analysis (EDX). a) Field emission scanning electron microscopic image from a markedly thin fibre extracted from lung tissue of an asbestos exposed patient. The fibre is more than 10 µm in length with a shell of ferruginous bodies. 6000-fold magnification. b) The EDX spectra of the denudated part of the asbestos body with magnesium (Mg), silicon (Si) and iron (Fe). The elemental composition and morphology of the fibre is typical for chrysotile. The gold (Au) signal originates from the filter and should be ignored. c) Transmission electron microscopy image of a chrysotile fibre and the corresponding EDX spectra (d).

Chrysotile fibre with the corresponding spectra obtained by energy-dispersive X-ray analysis (EDX). a) Field emission scanning electron microscopic image from a markedly thin fibre extracted from lung tissue of an asbestos exposed patient. The fibre is more than 10 µm in length with a shell of ferruginous bodies. 6000-fold magnification. b) The EDX spectra of the denudated part of the asbestos body with magnesium (Mg), silicon (Si) and iron (Fe). The elemental composition and morphology of the fibre is typical for chrysotile. The gold (Au) signal originates from the filter and should be ignored. c) Transmission electron microscopy image of a chrysotile fibre and the corresponding EDX spectra (d).

Discussion

Resection of lung tissue for scientific or insurance purposes alone is not admissible and ethically not justifiable [28]. It is thus impossible to study the asbestos fibre burden in the human lung in vivo within a prospective systematic study. This study is the first to present data from intra-individual longitudinal asbestos fibre analyses that were obtained by means of standardised analytical procedures in the lung tissues of patients with previous asbestos exposure at intervals of several years (figure 2). Our results show that asbestos continues to be demonstrable in human lungs, that also chrysotile can be identified after many years, and that there is no significant reduction of asbestos fibre concentrations in lung tissues over time after exposure cessation. The unique benefit of the data presented here is to have a measured starting point of the asbestos fibre burden of the human lung tissue to compare later findings with. Earlier studies defined biopersistence of asbestos in lung tissue after animal experiments [18, 19, 33] or hypothetical models that estimated baseline exposure concentrations from measuring airborne asbestos concentrations at workplaces; these data were then associated with autopsy results [8, 10, 14, 20]. Other authors compared fibre counts from different time periods [34, 35]. Our samples have been analysed in a quantitative way by phase contrast microscopy in the same laboratory using the same method. The laboratory has had experience in this method since 1987. Individual asbestos concentrations in lung tissue remained stable across intervals of 4–21 years between the two tissue excisions. Other authors reported a reduction of the asbestos fibre burden in lung tissue over 25 years of investigation [34], but were easily able to explain this with a reduction in exposure because of the 1972 asbestos ban for insulating products in the USA. In contrast to other authors, the analyses reported in this manuscript concerned one and the same patients. Hence, past asbestos exposure was identical for both analyses, but occurred much earlier in each case (figure 2). Thus, exposure is not a confounder in the present data. Assuming a variation by a factor of seven to 10 for asbestos concentrations within a human lung [29] definitely places the asbestos fibre concentrations in 90% of our patients within the range of the samples that had been analysed 4–21 years earlier (figure 3). This ties in very well with earlier reports of latency periods from 10 to 60 years of asbestos-related diseases, which are considered to develop typically while asbestos is present [36]. In some patients fibre numbers obtained after autopsies were higher than those after surgery. This may be explained by the well-known requirement to evaluate several tissue samples of one lung because of the heterogeneous distribution of asbestos bodies in lung tissue [6, 26, 29]. Such multiple tissue samples that are suitable for fibre analyses can be collected only by autopsies. Tissue from surgery is of limited size or from the side of the tumour in cases where a tumour is present. The contralateral lobe is available from autopsy tissue, as recommended in the guidelines [6, 26]; also, the lower lobe is available, which commonly contains higher fibre counts. According to the German AMWF guideline [23], we took the highest count as the result in table 1 but relativised the results in figure 3, when all counts are considered. With restriction of tissue availability the asbestoses were still clearly confirmed from surgery tissue. Light microscopy with phase contrast only reveals asbestos fibres with a thickness exceeding 0.2 µm. However, the result of light microscopic counts are a good measure for the overall asbestos fibre burden of the lung tissue under investigation and may well serve for comparative analyses [30]. Unlike other authors [28, 29], we did not pool samples but analysed each of them separately. This approach affords the opportunity of interpreting the asbestos concentrations in direct relation to histology. Moreover, focal accumulations in a pulmonary lobe can also be detected and be properly assessed because a given sample from one lobe will not be diluted by samples from other lobes that contain lower concentrations. Asbestos-related changes of the lung have been shown to predominantly affect the lower lobe; this will only be reflected adequately when different samples are analysed separately. In 16.7% where contact with asbestos dated back to between 20 and 29 years, the first lung dust analyses had been performed on BAL samples. They showed elevated asbestos fibre burden that had been confirmed at autopsies carried out 8–13 years later. BAL is indeed useful in establishing earlier asbestos exposure even if it dates back a very long time [35, 37, 38]. This was once more corroborated in the present study. A qualitative fibre analysis by EDX analysis demonstrated chrysotile as the main fibre in most tissue samples (66.7%) with asbestos exposure cessation dating back up to 37 years. This is in line with the results of other authors who found mainly chrysotile in lungs of German patients [9]. In contrast, only amphiboles could be detected in cases with pneumoconiosis in the UK [11], but chrysotile concentrations showed no elevation compared with a control group. The same applies to a study conducted in North America [39], where again only amphibole asbestos was found in mesothelioma patients. On the other hand, an increase in asbestos-related diseases has been observed in miners and millers in Canada, although exposure involved only chrysotile fibres. The fibres were demonstrable in lung tissue over several years [8, 14]. An explanation for this might be qualitative differences in regional asbestos exposure. Possibly, the resident times in lung tissues differ with differing origin and shape of chrysotile fibres. Different techniques of tissue preparation and fibre analysis might be another explanation for different findings in different studies. In lung dust analysis, only asbestos can be detected that has been extracted from tissue and which is not lost as a function of this process. Chrysotile is dissolved completely when acids are applied [12]. Fibres may also be destroyed by uncontrolled use of ultrasound or may be lost during multiple steps of centrifugation [28]. For electron microscopic analysis main parts of the body of the fibre are destroyed to access the core fibre. The strong beam needed for TEM might also destroy the asbestos fibre leading to significant identification errors [40]. In our routine examinations great importance is set to keep losses at the lowest possible level when processing the samples and centrifugation is not used. To analyse the core fibre we used FE-SEM, which has a higher resolution than SEM; there is also less damage to the fibre than with TEM. As TEM is considered to be the gold standard for fibre analysis [6, 26], we also applied this method to the available samples confirming the FE-SEM data. Electron microscopic analyses of fibre types in this study were performed in autoptic tissues. The total asbestos fibre burden of the lungs had remained constant across the complete period of investigations. Even at the time of the first tissue/BAL sampling, the patients had no longer been exposed to asbestos. Thus it is clear that there has been no relevant change in the ratio of amphibole to chrysotile fibres and that the chrysotile concentration has remained stable over the investigation period of 4–21 years. This also explains why we could not identify a correlation between the chrysotile content and the time interval from last exposure or the duration of exposure. Our results perfectly correlate to data published by Churg and dePaoli [21], who found that the ratio of chrysotile to amphibole (in this case tremolite) concentration did not change with time by comparing two sets of patients with a short and a long time interval to exposure cessation. Since the asbestos fibre concentrations had remained stable in the patients investigated, our data indicate that the well-known and scientifically recognised reduction of chrysotile fibres in human lung tissue [8, 11, 39] must have occurred at a very early time point. At the time of the first tissue sampling the last asbestos exposure had ended 3–29 years ago (median 9.5 years). This means that the reduction of chrysotile fibres must have occurred within this time span. Our study again confirms what has been postulated by Churg and dePaoli [21]: both studies “imply that the failure of chrysotile to accumulate in human lungs reflects events that occur early after exposure rather than long-term clearance mechanisms” and is best explained by the natural defence mechanisms of the human lung, e.g. mucociliary clearance in the bronchi and expectoration, and possibly acid hydrolysis by lysosomes. This is in line with the half-life times of a few weeks to several months found by Churg for chrysotile in human lung tissues [8]. Apart from that, the type and geometry of fibres seem to play a part. Certain chrysotile fibres which, like amphibole fibres, have successfully overcome the defence mechanisms of the lung and penetrated deeply into the alveoli can no longer be eliminated, and are therefore traceable in the human lung for many years. Owing to their extreme biopersistence, the fibres cannot be biologically reduced by the lung macrophages. The macrophages die and form the typical asbestos bodies [7, 33]. By their pin-like/acicular structure the fibres are prone to get caught in the alveoli of the lung parenchyma, so that clearing them from the system cannot be achieved. The human lung has no defence mechanisms that could eliminate the invasive fibres from the alveoli of the lung. Asbestos fibres, therefore, remain in the lung where their sustained presence causes lung disease. Continuous irritation of the tissue results in chronic inflammation to which the tissue responds by scar formation [36]. It is not only the amphibole fibres that can be identified in lung tissue over many years, but also chrysotile fibres, as is typical of pneumoconiosis due to asbestos fibres. The hazardous nature of chrysotile asbestos is under discussion. The answer to this question is of high impact for physicians, toxicologists and occupational as well as environmental risk assessment. Our unique data experimentally confirmed the well-known characteristics of the asbestos fibres (asbestos in ancient Greek ἄσβεστος=imperishable) for individual human lungs in vivo over many years. Overall, this study very clearly demonstrates high biopersistence of not only amphibole but also chrysotile asbestos in the human lung and thus gives mechanistic explanations for the toxicity of the fibre and the long latency period of asbestos related diseases. Please note: supplementary material is not edited by the Editorial Office, and is uploaded as it has been supplied by the author. Supplementary materials ERJ-02534-2016_Supplement I.S. Feder ERJ-02534-2016_Feder R. Merget ERJ-02534-2016_Merget I. Schmitz ERJ-02534-2016_Schmitz A. Tannapfel ERJ-02534-2016_Tannapfel A. Theile ERJ-02534-2016_Theile I. Tischoff ERJ-02534-2016_Tischoff
  33 in total

1.  Usual interstitial pneumonia in asbestos-exposed cohorts - concurrent idiopathic pulmonary fibrosis or atypical asbestosis?

Authors:  Richard L Attanoos; Fouad S Alchami; Frederick D Pooley; Allen R Gibbs
Journal:  Histopathology       Date:  2016-04-20       Impact factor: 5.087

2.  Guidelines for mineral fibre analyses in biological samples: report of the ERS Working Group. European Respiratory Society.

Authors:  P De Vuyst; A Karjalainen; P Dumortier; J C Pairon; E Monsó; P Brochard; H Teschler; A Tossavainen; A Gibbs
Journal:  Eur Respir J       Date:  1998-06       Impact factor: 16.671

Review 3.  Analysis and interpretation of inorganic mineral particles in "lung" tissues.

Authors:  A R Gibbs; F D Pooley
Journal:  Thorax       Date:  1996-03       Impact factor: 9.139

4.  Effect of temperature on beam damage of asbestos fibers in the transmission electron microscope (TEM) at 100kV.

Authors:  Joannie Martin; Martin Beauparlant; Sébastien Sauvé; Gilles L'Espérance
Journal:  Micron       Date:  2016-11-24       Impact factor: 2.251

5.  Asbestos bodies in bronchoalveolar lavage in the 21st century: a time-trend analysis in a clinical population.

Authors:  Valerie Nuyts; Hadewijch Vanhooren; Sarah Begyn; Kristiaan Nackaerts; Benoit Nemery
Journal:  Occup Environ Med       Date:  2016-08-22       Impact factor: 4.402

6.  Comparison of Calidria chrysotile asbestos to pure tremolite: final results of the inhalation biopersistence and histopathology examination following short-term exposure.

Authors:  David M Bernstein; Jörg Chevalier; Paul Smith
Journal:  Inhal Toxicol       Date:  2005-08       Impact factor: 2.724

7.  Significant relationship between the extent of pleural plaques and pulmonary asbestos body concentration in lung cancer patients with occupational asbestos exposure.

Authors:  Toshikazu Yusa; Kenzo Hiroshima; Fumikazu Sakai; Takumi Kishimoto; Kazuo Ohnishi; Ikuji Usami; Tetsuyuki Morikawa; Di Wu; Kazumi Itoi; Kenzo Okamoto; Yasushi Shinohara; Norihiko Kohyama; Kenji Morinaga
Journal:  Am J Ind Med       Date:  2015-02-11       Impact factor: 2.214

Review 8.  Health risk of chrysotile revisited.

Authors:  David Bernstein; Jacques Dunnigan; Thomas Hesterberg; Robert Brown; Juan Antonio Legaspi Velasco; Raúl Barrera; John Hoskins; Allen Gibbs
Journal:  Crit Rev Toxicol       Date:  2013-02       Impact factor: 5.635

9.  Pathology of asbestosis- An update of the diagnostic criteria: Report of the asbestosis committee of the college of american pathologists and pulmonary pathology society.

Authors:  Victor L Roggli; Allen R Gibbs; Richard Attanoos; Andrew Churg; Helmut Popper; Philip Cagle; Bryan Corrin; Teri J Franks; Francoise Galateau-Salle; Jeff Galvin; Philip S Hasleton; Douglas W Henderson; Koichi Honma
Journal:  Arch Pathol Lab Med       Date:  2010-03       Impact factor: 5.534

10.  Pleural mesothelioma and lung cancer risks in relation to occupational history and asbestos lung burden.

Authors:  Clare Gilham; Christine Rake; Garry Burdett; Andrew G Nicholson; Leslie Davison; Angelo Franchini; James Carpenter; John Hodgson; Andrew Darnton; Julian Peto
Journal:  Occup Environ Med       Date:  2015-12-29       Impact factor: 4.402

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  11 in total

Review 1.  Dosimetry of inhaled elongate mineral particles in the respiratory tract: The impact of shape factor.

Authors:  Bahman Asgharian; T Price Owen; Eileen D Kuempel; Annie M Jarabek
Journal:  Toxicol Appl Pharmacol       Date:  2018-05-05       Impact factor: 4.219

Review 2.  [The German Mesothelioma Register : Current pathological diagnostics and services].

Authors:  I S Feder; M Jülich; A Tannapfel; I Tischoff
Journal:  Pathologe       Date:  2018-12       Impact factor: 1.011

Review 3.  The modification of cancer risk by chemicals.

Authors:  David J Harrison; John E Doe
Journal:  Toxicol Res (Camb)       Date:  2021-07-12       Impact factor: 2.680

4.  [Mesothelioma].

Authors:  I Tischoff; A Tannapfel
Journal:  Pathologe       Date:  2017-11       Impact factor: 1.011

5.  Asbestos bodies count and morphometry in bulk lung tissue samples by non-invasive X-ray micro-tomography.

Authors:  Fabrizio Bardelli; Francesco Brun; Silvana Capella; Donata Bellis; Claudia Cippitelli; Alessia Cedola; Elena Belluso
Journal:  Sci Rep       Date:  2021-05-19       Impact factor: 4.379

Review 6.  Prevention of Asbestos Exposure in Latin America within a Global Public Health Perspective.

Authors:  Eduardo Algranti; Juan Pablo Ramos-Bonilla; Benedetto Terracini; Vilma S Santana; Pietro Comba; Roberto Pasetto; Agata Mazzeo; Fulvio Cavariani; Andrés Trotta; Daniela Marsili
Journal:  Ann Glob Health       Date:  2019-03-29       Impact factor: 2.462

7.  Asbestos Bodies Burden in the Autopsy Lung Tissue from General Thai Population.

Authors:  Pimpin Incharoen; Tuanseeta Hama; Lalida Arsa; Kaettipong Kamprerasart; Sompong Wongwichai; Somchai Bovornkitti
Journal:  Open Respir Med J       Date:  2019-05-31

8.  Position Paper on Asbestos of the Italian Society of Occupational Medicine.

Authors:  Pietro Apostoli; Paolo Boffetta; Massimo Bovenzi; Pier Luigi Cocco; Dario Consonni; Alfonso Cristaudo; Gianluigi Discalzi; Andrea Farioli; Maurizio Manno; Stefano Mattioli; Enrico Pira; Leonardo Soleo; Giuseppe Taino; Francesco Saverio Violante; Carlo Zocchetti
Journal:  Med Lav       Date:  2019-12-17       Impact factor: 1.275

9.  Inorganic Fiber Lung Burden in Subjects with Occupational and/or Anthropogenic Environmental Asbestos Exposure in Broni (Pavia, Northern Italy): An SEM-EDS Study on Autoptic Samples.

Authors:  Silvia Damiana Visonà; Silvana Capella; Sofia Bodini; Paola Borrelli; Simona Villani; Eleonora Crespi; Andrea Frontini; Claudio Colosio; Elena Belluso
Journal:  Int J Environ Res Public Health       Date:  2021-02-19       Impact factor: 3.390

10.  Asbestos exposure biomarkers in the follow-up of asbestos-exposed workers.

Authors:  Valentina Paolucci; Riccardo Romeo; Antonietta Gerardina Sisinni; Giuseppina Scancarello; Luca Volterrani; Maria Antonietta Mazzei; Lucio Barabesi; Pietro Sartorelli
Journal:  Ind Health       Date:  2018-02-26       Impact factor: 2.179

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