Literature DB >> 28587321

Clinical evaluation of CENP-B and Scl-70 autoantibodies in silicosis patients.

Suni Lee1, Hiroaki Hayashi2, Naoko Kumagai-Takei1, Hidenori Matsuzaki1, Kei Yoshitome1, Yasumitsu Nishimura1, Kozo Uragami3, Masayasu Kusaka4, Shoko Yamamoto1, Miho Ikeda1, Tamayo Hatayama1, Wataru Fujimoto2, Takemi Otsuki1.   

Abstract

Silicosis patients (SIL) suffer from respiratory disorders and dysregulation of autoimmunity. Frequent complications such as rheumatoid arthritis, systemic sclerosis (SSc) and vasculitis are known in SIL. Furthermore, we reported previously that some SIL exhibited better respiratory conditions in association with a worse immunological status. In this study, the clinical roles of anti-CENP-B and Scl-70 autoantibodies in SIL were analyzed. The titer index (Log10) of anti-CENP-B autoantibody in SIL was higher than that of healthy volunteers (HV), and that of SSc was higher than those of HV and SIL. This titer index was positively correlated with an assumed immune status of 1 for HV, 2 for SIL, and 3 for SSc. Moreover, although factor analysis revealed that the titer index of the anti-CENP-B autoantibody formed the same factor with the anti-Scl-70 autoantibody, IgG value and age in SIL cases, another extracted factor indicated that the IgA value and anti-Scl-70 antibody were positively related, but anti-CENP-B showed an opposite pattern in the results of the factor analysis. These findings indicated that the titer index of anti-CENP-B autoantibody may be a biomarker for dysregulation in SIL cases. Future clinical follow-up of SIL may therefore require both respiratory and immunological assessment.

Entities:  

Keywords:  CENP-B autoantibody; Scl-70 autoantibody; silicosis; systemic sclerosis

Year:  2017        PMID: 28587321      PMCID: PMC5450599          DOI: 10.3892/etm.2017.4331

Source DB:  PubMed          Journal:  Exp Ther Med        ISSN: 1792-0981            Impact factor:   2.447


Introduction

Silicosis is one of the typical forms of pneumoconiosis exhibiting pulmonary fibrosis and various pulmonary complications such as lung cancer, tuberculosis, chronic bronchitis, and other ailments (1–3). Patients with silicosis suffer from respiratory symptoms such as hypoxia, cough, sputum and dyspnea. In addition to these pulmonary problems, silicosis cases (SIL) often exhibit complications of autoimmune diseases such as rheumatoid arthritis (RA, known as Caplan's syndrome) (4–6), systemic lupus erythematosus (SLE) (7,8), anti-neutrophil cytoplasmic antibody (ANCA)-related vasculitis (9,10) and systemic sclerosis (SSc) (11–13). A consideration of the pathophysiological mechanisms associated with silicosis has led to the conclusion that silica acts as an adjuvant in SIL (14–16). It is from this viewpoint that we have been investigating the direct effects of silica particles on immune competent cells (17–19). Our investigations have shown that silica can chronically activate responder T cells and regulatory T cells (Treg), resulting in the prolonged survival of responder T cells by suppressing CD95/Fas-mediated apoptosis due to excess production of inhibitors such as soluble Fas molecules with other alternative splicing variants of CD95/Fas and decoy receptor 3 (DcR3) (20–22). In addition, faster loss of Treg due to the excess presence of the CD95/Fas molecule on the cell surface as a result of the chronic activation causes an unbalance of Treg (decrease) and responder T cells (increase) (23–25). Moreover, we reported the detection of various auto-antibodies in SIL. For example, the anti-CD95/Fas autoantibody was found in a quarter of SIL cases, and this autoantibody was functional and caused apoptosis of Fas over-expressing cells such as Treg in SIL (26). In addition, anti-topoisomerase I autoantibody (known as anti-Scl-70 autoantibody) was also detected in SIL cases. Our previous study showed that the haplotype HLA-DR15-DQ6 was detected in all four anti-topo I positive Asian Japanese SSc patients that were randomly selected. Furthermore, HLA-DQB1*0402 was identified in three of four anti-topo I positive silicosis patients (27–29). The anti-desmoglein autoantibody was also detected in SIL with no bullous diseases (30). Moreover, anti-caspase 8 autoantibody was detected in SIL (31). Investigation has also been conducted on the level of soluble interleukin (IL)-2 receptor (sIL-2R) in SIL (32). Although the number of patients in that investigation was low (ten SIL cases), the average level of sIL-2R was between that of healthy volunteers (HV) and SSc. In addition, the levels of sIL-2R in SIL were positively correlated with serum IgG and the titer of anti-nuclear antibodies (ANA) as measured by the ELISA method (32). In addition, the results of factor analysis indicated that the sIL-2R level was not extracted with respiratory clinical parameters such as exposure years, % vital capacity (%VC) and V25/H (forced expiratory flow at 25% vital capacity divided by body height (m)), except for forced expiratory volume 1.0 sec (%) (FEV1.0%). However, the sIL-2R level was extracted with other immunological makers such as serum IgG, serum soluble Fas level, and the percentage of CD25+ in CD4+ cells in peripheral blood mononuclear cells (PBMC). These results indicated that sIL-2R is a maker of immunological activation caused by chronic exposure of silica particles on responder T cells in SIL and is a maker of immune stimulation in SIL (32). It is on the basis of these aforementioned studies that we measured and analyzed the clinical properties of anti-CENP-B and anti-Scl-70 autoantibodies in SIL.

Materials and methods

Subjects

All subjects were Japanese. 19 HV [age (median=46.0 years old (y.o.): mean ± standard deviation (SD)=44.8±8.6 y.o.), male: female (M:F)=8:11], 20 SIL [age (median=73.5 y.o.): mean ± SD=74.9±5.4), male: female (M:F)=19:1] and 25 SSc [age (median=65.0 y.o.): mean ± SD=62.3±12.1), male: female (M:F)=3:22] were the subjects of this study. All SIL were brickyard workers in Bizen, Okayama, Japan, and were diagnosed according to the ILO 2,000 (33) guideline for pneumoconiosis and clinically followed in Kusaka Hospital or Hinase Uragami Iin according to Japanese law regarding the medical care of pneumoconiosis patients. The amount of free silica inhaled by these patients was estimated to be as high as 40 to 60% as determined from the work environment. These individuals did not show any symptoms of autoimmune diseases such as sclerotic skin, Raynaud's phenomenon, facial erythema and arthralgia. The SSc patients were diagnosed and monitored by the Dermatology Department, Kawasaki Medical School Hospital, Kurashiki, Japan. This study was approved by the Ethics Committee of Kawasaki Medical School (#374-2, #883 and #912) and samples were obtained only from subjects who provided written informed consent.

Clinical parameters

Serum samples from all subjects were analyzed for ANA using the ELISA-based MESACUP ANA TEST (Medical & Biological Laboratories, Co., Ltd., Nagoya, Japan), in which there are several recombinant proteins such as RNP, SS-A/Ro, SS-B/La, Scl-70, Jo-1 and Ribosomal P in vitro transcribed U1 RNA and CENP-B protein, and purified antigen (Sm, SS-A/Ro, Scl-70, Histone and DNA). The results were calculated as a titer index according to the following manufacturer's formula: [Titer index=(A450 of sample-A450 of standard serum #1 (negative control) provided by manufacturer) divided by (A450 anti-CENP-B antibody standard serum #2 (positive control)-A450 of standard serum #1 (negative control) provided by manufacturer)]. Since the ANA assay used in this study including various individual autoantibodies as mentioned above, we specifically extracted the titer index of anti-CENP-B and anti Scl-70 autoantibodies. Since SSc is one of the most frequent autoimmune complications in SIL, we reported the detection of anti-Scl-70 autoantibodies using a different series of SIL patients and had sufficient numbers of comparable SSc samples. In addition, we had reported that detection of anti-Scl-70 auto-antibody in serum of SIL with specific HLA type. Furthermore, serum fron SSc patients were kindly provided for this study, The clinical roles of these autoantibodies in SIL were then evaluated. In addition to these titer indices, serum IgG, A and M were also measured. The other clinical parameters of SIL that were analyzed included age, exposure years, FEV1.0%, body-height corrected V25/H and PR (profusion rate; radiological classification, numbered according to the ILO guideline, 1 to 4). Although the subjective dyspnea rating according to the Hugh-Jones classification (1, slight; 2, mild; 3, moderate; and 4, severe) was also recorded, all SIL had a rating of 3 except for one case with a rating of 4. The dyspnea rating was therefore not used in the subsequent statistical analysis.

Statistical analysis

The Log10 values of titer indices of anti-CENP-B and Scl-70 autoantibodies were compared among HV, SIL and SSc because the titer indices are more suitable for evaluation using Log10 values instead of actual indices due to the method of sample dilution and the fact that the pathophysiologically higher patients showed logarithmically high titer indices. Comparison of the three groups was performed using the non-parametric Kruskal-Wallis test. Analysis of correlations between titer indices of both autoantibodies and the assumed immunological status of the three groups (HV=1.0, SIL=2.0 and SSc=3, as continuous variables) was conducted using the non-parametric Spearman's test. To assess titer indices of both autoantibodies among SIL cases, we performed individual correlations for each clinical parameter and conducted factor analysis. Correlations were obtained using the non-parametric Spearman's test. In addition, the factor analysis was performed. Factor analysis is a statistical method used to describe variability among observed, correlated variables in terms of a potentially lower number of unobserved variables called factors. In this study, it was required to assess whether or not the titer value of anti CENP-B as well as anti Scl-70 antibodies in SIL related with respiratory variables, or related with immunological variables. Thus, five assumed respiratory variables (age, PR, %VC, FEV1.0 (%) and V25/H) and three other immunological variables (IgG, A and M) with above-mentioned titers of two auto-antibodies were applied to the factor analysis. All statistical analyses were performed using SPSS version 21 (IBM Japan, Tokyo, Japan).

Results

Comparison of titer indices of anti-CENP-B and anti-Scl-70 autoantibodies in HV, SIL and SSc

As shown in Fig. 1, the anti-CENP-B titer index (Log10) in SIL was significantly higher than that of HV. The titer index in SSc was also significantly higher than that of HV and SIL. However, the titer index of anti-Scl-70 autoantibody was significantly higher in SSc than in HV and SIL. Since the clinical properties of both autoantibodies differ, namely, the anti-CENP-B autoantibody is specifically detected in localized SSc with relatively mild symptoms and CREST syndrome (34), whereas the anti-Scl-70 autoantibody is detected in cases of diffuse SSC with severe visceral lesions such as lung fibrosis [Basu and Reveille (35)], part of the examined SSc cases were positive for both autoantibodies and these cases did not overlap. In addition, only one SIL case showed an equivalent higher titer index compared with positive cases in SSc; however, other SIL also showed a higher tendency compared with HV. This tendency was not found following examination of the anti-Scl-70 autoantibody.
Figure 1.

Comparison of titer indices (Log10) and actual indices (in blue) of (A) anti-CENP-B and (B) anti-Scl-70 autoantibodies in healthy volunteers (HV), silicosis patients (SIL) and systemic sclerosis patients (SSc). Statistical comparisons used the non-parametric Kruskal-Wallis test.

Correlation between titer indices of both autoantibodies and assumed immune status

As mentioned above, if the assumed immune status supposedly progresses in the sequence 1, 2 and 3 for HV, SIL and SSc, respectively, the correlation between the titer index of anti-CENP-B autoantibody and assumed immune status was significantly positive (ρ=0.548, P<0.001), whereas that between the titer index of anti-Scl-70 autoantibody and assumed immune status was not statistically significant (Fig. 2).
Figure 2.

Correlation between titer indices (Log10) and actual indices (in blue) of (A) anti-CENP-B and (B) anti-Scl-70 autoantibodies and the assumed immune status of 1, 2 and 3 for HV, SIL and SSc, respectively, as the continuous variables. Statistical comparisons used the non-parametric Spearman's test.

Correlation among various clinical parameters of SIL

To assess the titer indices of both autoantibodies, the individual correlations among the various clinical parameters in SIL were examined. The immunological parameters comprised titer indices of ANA, anti-CENP-B and Scl-70 autoantibodies, serum IgG, A and M. The respiratory parameters comprised age, PR, exposure years, %VC, FEV1.0% and V25/H. As shown in Table I, the titer indices of anti-CENP-B and Scl-70 autoantibodies showed a significant positive correlation (ρ=0.516, P=0.020). Although the titer index of the anti-CENP-B autoantibody showed a significant correlation with other parameters examined, the titer index of the anti-Scl-70 autoantibody showed a significant positive correlation with the ANA titer index and serum IgA. Since the measurement of ANA in this study used a multiplex ELISA assay that included the Scl-70 protein, a positive correlation with the ANA titer index may be expected, although the CENP-B protein was also included in the ANA kit without any significant positive correlation.
Table I.

Correlations among various respiratory and immunological parameters.

ANACENP-BScl-70IgGIgAIgMAgePREY%VCFEV1.0V25/H












ParameterUnitTiter indexTiter indexTiter indexµg/mlµg/mlµg/mlYearsGradeYears%%1/sec/m
ANACC0.1770.6360.4300.041  0.2260.328−0.025  0.004−0.116  0.132  0.063
p0.4540.0030.0580.865  0.3390.158  0.916  0.987  0.627  0.578  0.793
CENP-BCC0.5160.0420.140−0.0630.222−0.260−0.052−0.116  0.251  0.055
p0.0200.8600.556  0.7910.347  0.269  0.828  0.627  0.286  0.818
Scl-70CC0.6360.5160.1680.444  0.3250.215−0.119−0.245−0.024  0.299  0.270
p0.0030.0200.4780.050  0.1620.362  0.618  0.297  0.920  0.200  0.249
IgGCC0.006−0.0090.281−0.002  0.039  0.159  0.060  0.145
p0.980  0.9700.230  0.995  0.870  0.502  0.801  0.541
IgACC0.444  0.0620.066−0.030  0.044−0.069−0.096  0.032
p0.050  0.7960.781  0.900  0.853  0.772  0.686  0.895
IgMCC  0.100  0.011−0.021−0.912  0.341  0.405
p  0.867  0.930  0.963  0.416  0.141  0.076
AgeCC  0.024  0.183−0.315  0.057  0.049
p  0.921  0.440  0.176  0.813  0.838
PRCC−0.077  0.350−0.496−0.289
p  0.748  0.130  0.026  0.216
EYCC−0.084−0.153−0.294
p  0.724  0.518  0.208
%VCCC−0.313  0.014
p  0.179  0.955
FEV1.0 (%)CC  0.860
p<0.001
V25/HCC  0.860
p<0.001

The upper-right part of the table shows all correlations (ρ=cc and p) among immunological and respiratory parameters in silicosis patients. The lower-left panel represents significant correlations (P<0.05). Bold font indicates a significant correlation (P<0.05). CC, coefficient of correlation; p, Significance; ANA, antinuclear antibody; CENP-B, centromere protein B; Scl-70, anti-topoisomerase; Ig, immunoglobulin; PR, profusion rate; EY, exposure years; %VC, % vital capacity; FEV1.0, forced expiratory volume 1.0 (sec); V25/H, forced expiratory flow at 25% vital capacity divided by body height (m).

Factor analysis in SIL

Factor analysis was performed to identify the role of both autoantibodies in contributing to the pathophysiology of SIL and shown in Table II. Factor analysis is usually used to extract unexpected relations among various variables observed or examined in order to form newer insights and meanings into the effects and associations of these variables. Values greater than 0.4 or −0.4 should be selected as related variables forming the particular factors.
Table II.

Results of factor analysis (varimax method).

Extracted factors

ParameterUnit1234
CENP-BTiter index−0.026  0.773−0.255−0.405
Scl-70Titer index  0.194  0.459−0.207  0.489
IgG  µg/ml  0.196  0.595  0.293  0.110
IgA  µg/ml−0.043  0.001−0.045  0.928
IgM  µg/ml  0.575  0.325−0.010−0.032
Age  Years  0.072  0.685−0.037  0.150
PR  Grade−0.432  0.082  0.698−0.002
%VC  %  0.076−0.097  0.865−0.114
FEV1.0 (%)  %  0.880  0.130−0.318  0.017
V25/H  l/sec/m  0.947  0.033  0.092  0.072
Contrib. rate  %  22.8  17.7  15.4  13.2

Factor analysis is a statistical method used to describe variability among observed, correlated variables in terms of a potentially lower number of unobserved variables called factors. In this study, it was required to assess whether or not the titer value of anti CENP-B as well as anti Scl-70 antibodies in SIL related with respiratory parameteress, or related with immunological parameters. Thus, five assumed respiratory parameters (age, PR, %VC, FEV1.0 (%) and V25/H) and three other immunological parameters (IgG, A and M) with above-mentioned titers of two auto-antibodies were applied to the factor analysis. Bold indicates parameters that had factor loading greater than ± 0.4. These parameters contributed significantly to the extraction of factors, positively or negatively. CENP-B, Centromere protein B; Scl-70, anti-topoisomerase; Ig, immunoglobulin; PR, profusion rate; %VC, % vital capacity; FEV1.0 (%), forced expiratory volume 1.0 (sec) %; V25/H, forced expiratory flow at 25% vital capacity divided by body height (m); Contrib. contribution.

The analysis extracted four factors with more than a 10% contribution ratio. Factor 1 (22.8% contribution ratio) comprised PR with a minus value, and FEV1.0% and V25/H with positive values. This factor is assumed to represent respiratory factors and fewer PR cases showed higher (better) pulmonary function tests for obstructive changes. Factor 2 (17.7% contribution ratio) comprised the titer indices of anti- CENP-B and Scl-70 autoantibodies, IgG and age, all with plus values. This factor is understood as an immunological factor with aged patients showing a tendency for higher antibodies and IgG. The third factor is formed by PR and %VC with a 15% contribution ratio. This factor is unusual for pathological consideration in SIL because it indicated that cases with worse radiological findings may have a better %VC. The forth factor with a 13.2% contribution ratio was formed by the titer index of anti-CENP-B autoantibody with a minus value, the anti-Scl-70 autoantibody with a plus value, as well as the IgA level with a plus value. As found in analyses of individual correlations, the titer index of anti-Scl-70 autoantibody and IgA showed a positive correlation. This forth factor indicated that even though the titer index of anti-Scl-70 autoantibody was located in the range of HV, among these titers there is a correlation with IgA and this tendency was the opposite of that observed for the titer index of anti-CENP-B autoantibody.

Discussion

SIL cases include individuals suffering from pulmonary symptoms such as shortness of breath, respiratory infections such as tuberculosis, and chronic bronchitis due to chronic occupational inhalation of silica particles that cause pulmonary fibrosis (1,2). In addition, the International Agency for Research on Cancer (IARC) certified that lung cancer is definitely caused by silica particles (3). Furthermore, SIL cases often complicate with autoimmune diseases (36–38). Caplan's syndrome is one of the well-known entities indicating SIL, as with rheumatoid arthritis (4–6). SSc is also a frequent complication shown by SIL (11–13). Recent reports have shown the association of SIL with ANCA-related vasculitis (9,10). The mechanism of silica-induced dysregulation of autoimmunity is thought to involve silica acting as an adjuvant to existing autoantibodies to antigen-presenting cells (APC) and T cells (14–16). We have been investigating the direct action of silica particles on immune competent cells and found that silica particles chronically activate both Tresp and Treg (23–25). These activations result in Tresp proceeding toward a longer survival to produce extracellular inhibitory molecules for CD95/Fas-mediated apoptosis such as soluble Fas, DcR3 and other alternatively spliced Fas variants (20–22). This population may include self-recognizing clones that cause the observed autoimmune diseases (17–19). On the other hand, there is another T-cell population that results in reduction of the expression of various intracellular molecules inhibiting Fas-mediated apoptosis physiologically such as I-Flice, sentrin and I-CAD (39). This population was thought to proceed easily towards apoptosis and is recruited from the bone marrow (39). Actually, Treg in SIL showed excess expression of the CD95/Fas molecule compared to that in HV (23). The chronic activation of Treg in SIL induces higher Fas expression, which results in the easy progression for Fas-mediated apoptosis in Treg that may be repeatedly recruited from bone marrow in SIL. However, these cellular events result in an unbalance of the Tresp (increase) and Treg (decrease) populations (23). The CD4+25+ fraction in SIL showed a reduction of Treg function due to contamination of chronically activated and CD25 expressing Tresp, and a decrease of the real Treg expressing the forkhead box P3 (FoxP3) master gene (23,40). In fact, SIL was positive for various autoantibodies such as anti-CD95/Fas (26), anti-caspase 8 (31), anti-desmoglein (30), as well as anti-Scl-70 antibodies (27–29). Moreover, our previous analyses showed the different distribution of HLA class II alleles in anti-topoisomerase I (Scl-70) autoantibody responders between silicosis and systemic sclerosis patients, with a common distinct amino acid sequence in the HLA-DQB1 domain (27–29). The aim of this study is to evaluate and extract certain variables such as titer of anti-CENP-B antibody may indicate future dysregulation of autoimmune condition in SIL. Thus, titers such as anti-CENP-B and anti-Sci-70 auto antibodies are not required to be significantly higher than HV and similarly higher to SSc. In other word, as we consider that there may be SIL patients who progress toward immunological disorders rather than respiratory impairment (of course most of SIL may progress respiratory impairment rather than immunological disorders, or both pathological status progress paralleled), we hoped to find some parameters which indicate SIL predominantly progressing to immune status as we reported previously using soluble Fas (20) and serum sIL-2R (32). In this concept, it is not necessary that SIL with higher anti CENP-B titer is promised to progress toward SSc, however, of course they may develop SSC as well as other autoimmune diseases such as ANCA-related vasculitis and RA. In addition, all examined SIL were not revealed any symptoms or diagnostic criteria for various autoimmune diseases, especially patients with the highest anti-CENP-B was not complicated with SSc. The clinical roles of anti-CENP-B and anti-Scl-70 autoantibody in SIL were examined in this study in regard to the uncommon detection of autoantibodies in SIL. Although no SIL were positive for anti-Scl-70 autoantibody, one case showed a sufficiently high titer index of anti-CENP-B autoantibody, and most SIL showed a tendency for a value higher than that in HV. In addition, if we assume an immune status of 1, 2 and 3 for HV, SIL and SSc, respectively, we find a positive correlation between this assumed immune status and the whole titer index (Log10) of the anti-CENP-B autoantibody. The results of analyses of individual correlations among various clinical parameters including respiratory and immunological items and the factor analysis indicated that the titer index of the anti-CENP-B autoantibody is not related to respiratory parameters. The increase of the titer index of anti-CENP-B autoantibody was then linked to the increase of the titer index of the anti-Scl-70 autoantibody, serum IgG and age. On the other hand, the titer indices of both autoantibodies indicated an opposite association with serum IgA values. The titer index of the anti-Scl-70 autoantibody was positively related with serum IgA and those of CENP-B indicated an opposite association. Thus, both autoantibodies may suggest a different immune disturbance in SIL, whereas all cases of SIL examined in this study basically showed a similar titer index for the anti-Scl-70 autoantibody compared with HV. This finding may require further analysis in future investigations, including cases of SIL positive for the anti-Scl-70 autoantibody. The overall results show that the anti-CENP-B autoantibody was detected in SIL and the titer index of this autoantibody may indicate altered immune status in SIL. The titer index of the anti-CENP-B autoantibody, as well as serum soluble Fas (20) and serum sIL-2R (32), may be a biomarker for dysregulation in cases of SIL. Actually, we reported previously that there are some SIL who exhibited better respiratory conditions in association with a worse immunological status (41,42). The future clinical follow-up of SIL may therefore need to consider respiratory and immunological aspects.
  39 in total

1.  Is the anti-topoisomerase I autoantibody response associated with a distinct amino acid sequence in the HLA-DQbeta1 domain?

Authors:  A Ueki; Y Isozaki; A Tomokuni; T Otsuki; F Hydoh; H Sakaguchi; S Tanaka; M Kusaka
Journal:  Arthritis Rheum       Date:  2001-02

Review 2.  Alterations of Fas and Fas-related molecules in patients with silicosis.

Authors:  Takemi Otsuki; Yoshie Miura; Yasumitsu Nishimura; Fuminori Hyodoh; Akiko Takata; Masayasu Kusaka; Hironobu Katsuyama; Masafumi Tomita; Ayako Ueki; Takumi Kishimoto
Journal:  Exp Biol Med (Maywood)       Date:  2006-05

3.  Reductive alteration of the regulatory function of the CD4(+)CD25(+) T cell fraction in silicosis patients.

Authors:  H Hayashi; Y Miura; M Maeda; S Murakami; N Kumagai; Y Nishimura; M Kusaka; K Urakami; W Fujimoto; T Otsuki
Journal:  Int J Immunopathol Pharmacol       Date:  2010 Oct-Dec       Impact factor: 3.219

4.  Association of pulmonary silicosis and systemic sclerosis.

Authors:  Kaouther Ben Abdelghani; Alia Fazaa; Leila Souabni; Leith Zakraoui
Journal:  BMJ Case Rep       Date:  2015-01-27

Review 5.  Pneumoconiosis and Rheumatoid arthritis (Caplan's syndrome).

Authors:  K Constantinidis
Journal:  Br J Clin Pract       Date:  1977-04

6.  Reduced function of CD4+25+ regulatory T cell fraction in silicosis patients.

Authors:  P Wu; Y Miura; F Hyodoh; Y Nishimura; T Hatayama; S Hatada; H Sakaguchi; M Kusaka; H Katsuyama; M Tomita; T Otsuki
Journal:  Int J Immunopathol Pharmacol       Date:  2006 Apr-Jun       Impact factor: 3.219

7.  Evaluation of cases with silicosis using the parameters related to Fas-mediated apoptosis.

Authors:  T Otsuki; K Ichihara; A Tomokuni; H Sakaguchi; T Aikoh; T Matsuki; Y Isozaki; F Hyodoh; M Kusaka; S Kita; A Ueki
Journal:  Int J Mol Med       Date:  1999-10       Impact factor: 4.101

Review 8.  Silica exposure and altered regulation of autoimmunity.

Authors:  Suni Lee; Hidenori Matsuzaki; Naoko Kumagai-Takei; Kei Yoshitome; Megumi Maeda; Ying Chen; Masayasu Kusaka; Kozo Urakami; Hiroaki Hayashi; Wataru Fujimoto; Yasumitsu Nishimura; Takemi Otsuki
Journal:  Environ Health Prev Med       Date:  2014-08-19       Impact factor: 3.674

Review 9.  Dysregulation of the immune system caused by silica and asbestos.

Authors:  Megumi Maeda; Yasumitsu Nishimura; Naoko Kumagai; Hiroaki Hayashi; Tamayo Hatayama; Minako Katoh; Naomi Miyahara; Shoko Yamamoto; Junichi Hirastuka; Takemi Otsuki
Journal:  J Immunotoxicol       Date:  2010-09-20       Impact factor: 3.000

10.  The association of progressive systemic sclerosis (scleroderma) with coal miners' pneumoconiosis and other forms of silicosis.

Authors:  G P Rodnan; T G Benedek; T A Medsger; R J Cammarata
Journal:  Ann Intern Med       Date:  1967-02       Impact factor: 25.391

View more
  1 in total

1.  Increased Autoantibodies Against Ro/SS-A, CENP-B, and La/SS-B in Patients With Kidney Allograft Antibody-mediated Rejection.

Authors:  Sergi Clotet-Freixas; Max Kotlyar; Caitriona M McEvoy; Chiara Pastrello; Sonia Rodríguez-Ramírez; Sofia Farkona; Heloise Cardinal; Mélanie Dieudé; Marie-Josée Hébert; Yanhong Li; Olusegun Famure; Peixuen Chen; S Joseph Kim; Emilie Chan; Igor Jurisica; Rohan John; Andrzej Chruscinski; Ana Konvalinka
Journal:  Transplant Direct       Date:  2021-09-20
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.