The Influence of Gene-Gene and Gene-Environment Interactions on the Risk of Asbestosis

Franko, Alenka; Dolžan, Vita; Arnerić, Niko; Dodic-Fikfak, Metoda

doi:10.1155/2013/405743

Cited by 10 publications

(7 citation statements)

References 36 publications

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“…These results were supported by the evidence in a murine model that alveolar macrophages were able to produce nitrite products through an overexpression of iNOS if exposed to asbestos [ 78 ]. These preliminary findings were subsequently confirmed by more recent studies [ 79 , 80 ] and further enhanced by the observation that iNOS genetic polymorphisms could influence the risk of developing lung fibrosis in asbestos exposed patients [ 81 , 82 ]. No specific data have been published on the accuracy of eNO parameters in detecting the onset of lung fibrosis in asbestos-exposed patients or their prognostic value.…”

Section: Extended Feno Analysis In Ilds: Current Evidencesupporting

confidence: 55%

Extended Exhaled Nitric Oxide Analysis in Interstitial Lung Diseases: A Systematic Review

Cameli

Bargagli

Bergantini

et al. 2020

IJMS

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Fractional exhaled nitric oxide (FeNO) is a well-known and widely accepted biomarker of airways inflammation that can be useful in the therapeutic management, and adherence to inhalation therapy control, in asthmatic patients. However, the multiple-flows assessment of FeNO can provide a reliable measurement of bronchial and alveolar production of NO, supporting its potential value as biomarker also in peripheral lung diseases, such as interstitial lung diseases (ILD). In this review, we first discuss the role of NO in the pathobiology of lung fibrosis and the technique currently approved for the measurement of maximum bronchial flux of NO (J’awNO) and alveolar concentration of NO (CaNO). We systematically report the published evidence regarding extended FeNO analysis in the management of patients with different ILDs, focusing on its potential role in differential diagnosis, prognostic evaluation and severity assessment of disease. The few available data concerning extended FeNO analysis, and the most common comorbidities of ILD, are explored too. In conclusion, multiple-flows FeNO analysis, and CaNO in particular, appears to be a promising tool to be implemented in the diagnostic and prognostic pathways of patients affected with ILDs.

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Section: Extended Feno Analysis In Ilds: Current Evidencesupporting

confidence: 55%

Extended Exhaled Nitric Oxide Analysis in Interstitial Lung Diseases: A Systematic Review

Cameli

Bargagli

Bergantini

et al. 2020

IJMS

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“… 24 , 25 , 26 Nevertheless, the interaction between asbestos exposure and genetic susceptibility due to genetic polymorphism of antioxidant enzymes has been shown for asbestosis. 27 We have previously described the association between SOD2 Ala/Ala genotype and asbestosis 28 as well as association between CAT -262 TT genotype and asbestosis. 16 Landi et al .…”

Section: Introductionmentioning

confidence: 97%

The influence of genetic variability on the risk of developing malignant mesothelioma

Franko

Kotnik

Goričar

et al. 2018

Radiology and Oncology

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BackgroundMalignant mesothelioma is a rare cancer with poor outcome, associated with asbestos exposure. Reactive oxygen species may play an important role in the mechanism of carcinogenesis; therefore, genetic variability in antioxidative defence may modify an individual’s susceptibility to this cancer. This study investigated the influence of functional polymorphisms of NQO1, CAT, SOD2 and hOGG1 genes, gene-gene interactions and gene-environment interactions on malignant mesothelioma risk.Patients and methodsIn total, 150 cases with malignant mesothelioma and 122 controls with no asbestos-related disease were genotyped for NQO1, CAT, SOD2 and hOGG1 polymorphisms.ResultsThe risk of malignant mesothelioma increased with smoking, odds ratio (OR) 9.30 [95% confidence interval (CI): 4.83–17.98] and slightly with age, OR 1.10 (95% CI: 1.08–1.14). Medium and high asbestos exposures represented 7-times higher risk of malignant mesothelioma compared to low exposure, OR 7.05 (95% CI 3.59–13.83). NQO1 rs1800566 was significantly associated with increased malignant mesothelioma risk, OR 1.73 (95% CI 1.02–2.96). Although there was no independent association between either CAT rs1001179 or hOGG1 rs1052133 polymorphism and malignant mesothelioma, interaction between both polymorphisms showed a protective effect, ORint 0.27 (95% CI 0.10–0.77).ConclusionsOur findings suggest a role of both genetic variability in antioxidative defence and repair as well as the impact of gene-gene interactions in the development of malignant mesothelioma. The results of this study could add to our understanding of pathogenesis of malignant mesothelioma and contribute to prevention and earlier diagnosis of this aggressive cancer.

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“…It has been suggested that in addition to asbestos exposure, genetic factors may also affect the development of asbestos-related diseases (40)(41)(42). This study investigated the influence of NLRP3 rs35829419 and CARD8 rs2043211 polymorphisms on the risk of different asbestos-related diseases.…”

Section: Discussionmentioning

confidence: 99%

NLRP3 and CARD8 polymorphisms influence risk for asbestos-related diseases

Franko¹,

Goričar²,

Kovač³

et al. 2019

Journal of Medical Biochemistry

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Summary Background This study aimed to investigate the association between NLRP3 rs35829419 and CARD8 rs2043211 polymorphisms and the risk of developing pleural plaques, asbestosis, and malignant mesothelioma (MM), and to study the influence of the interactions between polymorphisms and asbestos exposure on the risk of developing these diseases. Methods The case-control study included 416 subjects with pleural plaques, 160 patients with asbestosis, 154 subjects with MM and 149 subjects with no asbestos disease. The NLRP3 rs35829419 and CARD8 rs2043211 polymorphisms were determined using real-time PCR-based methods. In the statistical analysis, standard descriptive statistics was followed by univariate and multivariate logistic regression modelling. Results Asbestos exposure (medium and high vs low) was associated with the risk for each studied asbestos-related disease. An increased risk of pleural plaques was found for CARD8 rs2043211 AT + TT genotypes (OR = 1.48, 95% CI 1.01–2.16, p = 0.042). When the analysis was performed for MM patients as cases, and pleural plaques patients as controls, a decreased MM risk was observed for carriers of CARD8 rs2043211 TT genotype (OR = 0.52, 95% CI 0.27–1.00, p = 0.049). The interactions between NLRP3 rs35829419 and CARD8 rs2043211 genotypes did not influence the risk of any asbestos-related disease. However, when testing interactions with asbestos exposure, a decreased risk of asbestosis was found for NLRP3 CA+AA genotypes (OR = 0.09, 95% CI 0.01–0.60, p = 0.014). Conclusions The results of our study suggest that NLRP3 and CARD8 polymorphisms could affect the risk of asbestos-related diseases.

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The Influence of Gene-Gene and Gene-Environment Interactions on the Risk of Asbestosis

Cited by 10 publications

References 36 publications

Extended Exhaled Nitric Oxide Analysis in Interstitial Lung Diseases: A Systematic Review

Extended Exhaled Nitric Oxide Analysis in Interstitial Lung Diseases: A Systematic Review

The influence of genetic variability on the risk of developing malignant mesothelioma

NLRP3 and CARD8 polymorphisms influence risk for asbestos-related diseases

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