Fisiopatologia da dermatite de contato alérgica: papel das células T CD8 efetoras e das células T CD4 regulatórias

Hennino, Anà; Vocanson, Marc; Chavagnac, Cyril; Saint-Mézard, Pierre; Dubois, Bertrand; Kaiserlian, Dominique; Nicolas, Jean‐François

doi:10.1590/s0365-05962005000400003

Cited by 10 publications

(6 citation statements)

References 59 publications

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“…Recently, our group has extensively studied skin sensitization (Alves et al, 2016, 2015a, 2015b). Skin sensitization is an autoimmune inflammatory reaction, which is caused by topical exposure to chemical allergens (Hennino et al, 2005), therefore, this endpoint has high importance to cosmetic industry (Vandebriel and van Loveren, 2010). In addition, the animal testing has been completely banned for cosmetics in Europe (European Commission, 2013), which explains the high number of cosmetics in this dataset.…”

Section: Discussionmentioning

confidence: 99%

Chemical toxicity prediction for major classes of industrial chemicals: Is it possible to develop universal models covering cosmetics, drugs, and pesticides?

Alves

Muratov

Zakharov

et al. 2018

Food and Chemical Toxicology

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Computational models have earned broad acceptance for assessing chemical toxicity during early stages of drug discovery or environmental safety assessment. The majority of publicly available QSAR toxicity models have been developed for datasets including mostly drugs or drug-like compounds. We have evaluated and compared chemical spaces occupied by cosmetics, drugs, and pesticides, and explored whether current computational models of toxicity endpoints can be universally applied to all these chemicals. Our analysis of the chemical space overlap and applicability domain (AD) of models built previously for twenty different toxicity endpoints showed that most of these models afforded high coverage (>90%) for all three classes of compounds analyzed herein. Only T. pyriformis models demonstrated lower coverage for drugs and pesticides (38% and 54%, respectively). These results show that, for the most part, historical QSAR models built with data available for different toxicity endpoints can be used for toxicity assessment of novel chemicals irrespective of the intended commercial use; however, the AD restriction is necessary to assure the expected prediction accuracy. Local models may need to be developed to capture chemicals that appear as outliers with respect to global models.

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Section: Discussionmentioning

confidence: 99%

Chemical toxicity prediction for major classes of industrial chemicals: Is it possible to develop universal models covering cosmetics, drugs, and pesticides?

Alves

Muratov

Zakharov

et al. 2018

Food and Chemical Toxicology

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“…Among the allergic contact dermatites (ACD), those caused by the ion nickel (Ni2+) affect a large part of the general population. 1 , 2 …”

Section: Introductionmentioning

confidence: 99%

Evaluation of the profile of inflammatory cytokines, through immunohistochemistry, in the skin of patients with allergic contact dermatitis to nickel in the acute and chronic phases

Silvestre

Reis

2018

An. Bras. Dermatol.

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BackgroundAllergic contact dermatitis to ion nickel (Ni+2) is an inflammatory dermatosis, common in industrialized countries. It involves the activation of nickel-specific T-cells, followed by proliferation and induction of a mixed profile of both proinflammatory and regulatory cytokines, suggesting that several T-cell subtypes (helper - Th and cytotoxic - Tc) are involved. A broader understanding of the cytokine profile may lead to new therapeutic approaches.ObjectivesThis study aimed to analyze the cytokines TNF-α, INF-γ, IL-2, IL-4, IL-10, IL-13, IL-17 and IL-23 using the immunohistochemistry technique in order to try to identify their prevalence in chronic and acute eczema of patients with allergic contact dermatitis to Ni+2.MethodsWe performed an immunohistochemical study for eight cytokines in 20 patients with Ni+2 allergic contact dermatitis, biopsied at the site of chronic eczema, triggered by the patient's daily contact with Ni+2, and at the site of acute eczema caused by nickel sulfate, 48 hours after applying the contact test.ResultsThe stained samples showed positive results for the eight cytokines studied. TNF-α, IFN-γ, IL-4, IL-13 and IL-17 had a higher prevalence in chronic eczema, IL-2 and IL-23 in acute eczema, and IL-10 presented a similar prevalence in both acute and chronic eczema. However, these prevalences were statistically significant only for IL-4 and IL-13.Study LimitationsSmall sample size.ConclusionsIn chronic and acute eczema, we observed the presence of a mixed cytokine profile of the T cell subtypes (Th/Tc), suggesting that the responses are expressed at the same time.

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“…1 ACD is caused by topical exposure to chemical allergens 2 and their abundance in commerce demands that hazardous chemicals must be identified and replaced by “greener”, i.e. , safer, alternatives.…”

Section: Introductionmentioning

confidence: 99%

“…Allergic contact dermatitis (ACD) is a prevalent occupational and environmental disease with a high impact on individual working ability and quality of life. 1 ACD is caused by topical exposure to chemical allergens 2 and their abundance in commerce demands that hazardous chemicals must be identified and replaced by "greener", i.e., safer, alternatives. 3,4 The adverse outcome pathway (AOP) of ACD is characterized by two phases: induction and elicitation of the immune response.…”

Section: Introductionmentioning

confidence: 99%

QSAR models of human data can enrich or replace LLNA testing for human skin sensitization

et al. 2016

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Skin sensitization is a major environmental and occupational health hazard. Although many chemicals have been evaluated in humans, there have been no efforts to model these data to date. We have compiled, curated, analyzed, and compared the available human and LLNA data. Using these data, we have developed reliable computational models and applied them for virtual screening of chemical libraries to identify putative skin sensitizers. The overall concordance between murine LLNA and human skin sensitization responses for a set of 135 unique chemicals was low (R = 28-43%), although several chemical classes had high concordance. We have succeeded to develop predictive QSAR models of all available human data with the external correct classification rate of 71%. A consensus model integrating concordant QSAR predictions and LLNA results afforded a higher CCR of 82% but at the expense of the reduced external dataset coverage (52%). We used the developed QSAR models for virtual screening of CosIng database and identified 1061 putative skin sensitizers; for seventeen of these compounds, we found published evidence of their skin sensitization effects. Models reported herein provide more accurate alternative to LLNA testing for human skin sensitization assessment across diverse chemical data. In addition, they can also be used to guide the structural optimization of toxic compounds to reduce their skin sensitization potential.

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Fisiopatologia da dermatite de contato alérgica: papel das células T CD8 efetoras e das células T CD4 regulatórias

Cited by 10 publications

References 59 publications

Chemical toxicity prediction for major classes of industrial chemicals: Is it possible to develop universal models covering cosmetics, drugs, and pesticides?

Chemical toxicity prediction for major classes of industrial chemicals: Is it possible to develop universal models covering cosmetics, drugs, and pesticides?

Evaluation of the profile of inflammatory cytokines, through immunohistochemistry, in the skin of patients with allergic contact dermatitis to nickel in the acute and chronic phases

QSAR models of human data can enrich or replace LLNA testing for human skin sensitization

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