RESUMEN
Fragrance materials are widely used in various types of products in daily life and many of them can be contact sensitizers. Contact allergy to fragrances has been reported to be common worldwide. Unlike other groups of contact allergens such as metals and preservatives, fragrance materials in consumer products can be present as single fragrance chemicals or in the form of mixtures known as natural complex substances. Due to the complexity of the fragrance materials and the high number of fragrance substances known to cause contact sensitization, selecting suitable materials for patch testing is challenging. Emerging fragrance markers have been additionally introduced in different baseline series for screening to enhance the rate of fragrance contact allergy detection. Moreover, there have been continual updates on basic knowledge, clinical perspectives, sources of exposure, and regulations on the use of fragrance materials. Avoiding pitfalls while performing patch testing with fragrance test materials is also crucial and should not be overlooked. Therefore, this review aims to update knowledge to provide a high-quality holistic approach to fragrance contact allergy diagnosis and management.
Asunto(s)
Alérgenos , Dermatitis Alérgica por Contacto , Pruebas del Parche , Perfumes , Humanos , Dermatitis Alérgica por Contacto/diagnóstico , Dermatitis Alérgica por Contacto/etiología , Perfumes/efectos adversos , Alérgenos/efectos adversos , Valor Predictivo de las PruebasRESUMEN
Modern gas chromatography-mass spectrometry (GC-MS) allows for the analysis of complex samples, such as fragrances. However, identifying all the constituents in natural fragrance mixtures, especially allergens that need to be listed on product labels, is a significant challenge. This is primarily due to the high complexity of the sample and the fact that electron ionization, the most commonly used ionization method in GC-MS, produces numerous nonspecific fragment ions, often resulting in the absence or very low abundance of the molecular ion. These factors affect confidence in assigning the analyte. In this study, we demonstrate that the combination of GC × GC separation, with high mass resolution and accurate mass measurements, as well as chemical ionization in addition to traditional electron ionization, becomes an efficient tool for reliable qualitative analysis of a mixture containing 100 fragrance allergens, even when many of them are closely related species or isomers. The proposed approach expands the applicability of the comprehensive GC × GC-HRMS method, which includes complementary ionization techniques, from studies on anthropogenic priority pollutants and emerging contaminants to the analysis of natural products. Although targeted qualitative and quantitative analysis of allergens in the modern laboratories is well organized, GC × GC-HRMS, being a useful complement to routine quality control of volatile allergens in fragrances, definitely gives an additional contribution to the analytical cases when conventional 1D-GC-MS faces some problems or uncertainties.
Asunto(s)
Alérgenos , Cromatografía de Gases y Espectrometría de Masas , Perfumes , Alérgenos/análisis , Perfumes/análisis , Cromatografía de Gases y Espectrometría de Masas/métodos , HumanosRESUMEN
BACKGROUND: Fragrance substances are a frequent cause of contact allergy worldwide. Fragrance exposure varies by sex, age and possibly country, influenced by cosmetic availability, environmental conditions and cultural practices. OBJECTIVES: To systematically review and gather prevalence of sensitization to fragrance mix I (FM I) and fragrance mix II (FM II) in consecutively patch tested European dermatitis patients. METHOD: A total of 4134 publications on patch test results of European dermatitis patients, published from 1981 to 2022, were systematically reviewed according to a previously registered and published PROSPERO protocol. RESULTS: Eighty-four eligible original articles were analysed. Overall prevalence of sensitization to fragrance mix I (FM I) was 6.81% (95% CI: 6.37-7.28), and FM II was 3.64% (95% CI: 3.3-4.01). Sensitization to FM I was most prevalent in Central and Eastern Europe and to FM II in Western Europe. No clear time trends were observed. Among paediatric dermatitis patients, sensitization prevalence for FM I and FM II was 4.09% (95% CI: 3.37-4.96) and 2.17% (95% CI: 1.53-3.07). CONCLUSION: The frequency of positive patch test results for both FMI and FMII remains high. Sensitization is also prevalent among children. Enhanced regulation and labelling of cosmetic products play a vital role in averting exposure and sensitization to fragrance allergens.
Asunto(s)
Dermatitis Alérgica por Contacto , Pruebas del Parche , Perfumes , Humanos , Dermatitis Alérgica por Contacto/etiología , Dermatitis Alérgica por Contacto/epidemiología , Dermatitis Alérgica por Contacto/diagnóstico , Europa (Continente)/epidemiología , Perfumes/efectos adversos , Prevalencia , Alérgenos/efectos adversos , Cosméticos/efectos adversosRESUMEN
This study addresses the need for accurate structural data regarding the toxicity of fragrances in sanitizers and disinfectants. We compare the predictive and descriptive (model stability) potential of multiple linear regression (MLR) and partial least squares (PLS) models optimized through variable selection (VS). A novel hybrid chaotic neural network algorithm with competitive learning (CCLNNA)-PLS modeling strategy can offer specific optimization with satisfactory results, even for a limited dataset. While also exploring the preliminary comparative analysis, the goal is to introduce an adapted novel CCLNNA optimization strategy for VS, inspired by neural networks, along with exploring the influence of the percentage of significant descriptors in the optimization function to enhance the final model's capabilities. We analyzed an available dataset of 24 molecules, incorporating ADMET and PaDEL descriptors as predictor variables, to explore the relationship between the response/target variable (pLC50) and the meticulously optimized set of descriptors. The suitability of the selected PLS models (cross- and external-validated accuracy combined with percentage of significant descriptors at a level equal to or >80 %) underscores the importance of expanding the dataset to amplify the validation protocols, thus enhancing future model reliability and environmental impact.
Asunto(s)
Desinfectantes , Redes Neurales de la Computación , Desinfectantes/toxicidad , Análisis de los Mínimos Cuadrados , Algoritmos , Perfumes , Modelos LinealesRESUMEN
BACKGROUND: Chemical hair relaxers are widely utilized by black women, yet little research exists on the allergens present in these products. OBJECTIVE: This study aims to investigate allergen prevalence in the most popular chemical hair relaxers. METHODS: We analysed 41 products from five major retailers, identifying allergens through ingredient lists and comparing them to the 2020 American Contact Dermatitis Group Core allergen series. RESULTS: The most common contact allergens in chemical relaxers include propylene glycol, cetyl steryl alcohol, fragrance, D/L-a-tocopherol, tea tree oil and cocamidopropyl betaine. CONCLUSION: Understanding allergen exposure in products used by individuals with textured hair is needed for managing contact dermatitis in diverse populations. This analysis underscores the presence of potential allergens in hair relaxers, emphasizing the importance of dermatologists' awareness and patient scrutiny of ingredient lists.
Asunto(s)
Alérgenos , Dermatitis Alérgica por Contacto , Preparaciones para el Cabello , Humanos , Preparaciones para el Cabello/efectos adversos , Preparaciones para el Cabello/química , Alérgenos/efectos adversos , Alérgenos/análisis , Dermatitis Alérgica por Contacto/etiología , Betaína/análogos & derivados , Betaína/efectos adversos , Betaína/análisis , Aceite de Árbol de Té/efectos adversos , Aceite de Árbol de Té/análisis , Perfumes/efectos adversos , Perfumes/análisis , Propilenglicol/efectos adversos , Propilenglicol/análisis , FemeninoAsunto(s)
Perfumes , Fenetilaminas , Animales , Humanos , Seguridad de Productos para el Consumidor , Bases de Datos de Compuestos Químicos , Determinación de Punto Final , Nivel sin Efectos Adversos Observados , Odorantes , Perfumes/toxicidad , Perfumes/química , Medición de Riesgo , Pruebas de Toxicidad , Fenetilaminas/química , Fenetilaminas/toxicidadAsunto(s)
Caproatos , Odorantes , Perfumes , Humanos , Perfumes/toxicidad , Perfumes/química , Animales , Medición de Riesgo , Caproatos/toxicidad , Caproatos/química , Determinación de Punto Final , Seguridad de Productos para el Consumidor , Nivel sin Efectos Adversos Observados , Pruebas de Toxicidad , Bases de Datos de Compuestos QuímicosAsunto(s)
Ciclohexanoles , Odorantes , Perfumes , Animales , Humanos , Seguridad de Productos para el Consumidor , Ciclohexanoles/toxicidad , Ciclohexanoles/química , Determinación de Punto Final , Nivel sin Efectos Adversos Observados , Perfumes/toxicidad , Perfumes/química , Medición de Riesgo , Pruebas de ToxicidadAsunto(s)
Odorantes , Perfumes , Terpenos , Animales , Humanos , Seguridad de Productos para el Consumidor , Bases de Datos de Compuestos Químicos , Determinación de Punto Final , Nivel sin Efectos Adversos Observados , Perfumes/toxicidad , Perfumes/química , Medición de Riesgo , Pruebas de Toxicidad , Terpenos/química , Terpenos/toxicidadAsunto(s)
Odorantes , Perfumes , Timol , Humanos , Medición de Riesgo , Animales , Perfumes/toxicidad , Perfumes/química , Timol/toxicidad , Timol/química , Pruebas de Toxicidad , Determinación de Punto Final , Seguridad de Productos para el Consumidor , Nivel sin Efectos Adversos Observados , Bases de Datos de Compuestos QuímicosAsunto(s)
Ciclopentanos , Odorantes , Perfumes , Animales , Humanos , Seguridad de Productos para el Consumidor , Ciclopentanos/toxicidad , Ciclopentanos/química , Bases de Datos de Compuestos Químicos , Determinación de Punto Final , Nivel sin Efectos Adversos Observados , Perfumes/toxicidad , Perfumes/química , Medición de Riesgo , Pruebas de ToxicidadAsunto(s)
Odorantes , Pentanoles , Perfumes , Animales , Humanos , Butanoles/toxicidad , Butanoles/química , Seguridad de Productos para el Consumidor , Bases de Datos de Compuestos Químicos , Determinación de Punto Final , Nivel sin Efectos Adversos Observados , Perfumes/toxicidad , Perfumes/química , Medición de Riesgo , Pruebas de Toxicidad , Pentanoles/química , Pentanoles/toxicidadAsunto(s)
Isobutiratos , Odorantes , Perfumes , Animales , Humanos , Seguridad de Productos para el Consumidor , Bases de Datos de Compuestos Químicos , Determinación de Punto Final , Isobutiratos/toxicidad , Isobutiratos/química , Nivel sin Efectos Adversos Observados , Perfumes/toxicidad , Perfumes/química , Medición de Riesgo , Pruebas de ToxicidadAsunto(s)
Acetofenonas , Odorantes , Perfumes , Animales , Humanos , Acetofenonas/toxicidad , Acetofenonas/química , Seguridad de Productos para el Consumidor , Bases de Datos de Compuestos Químicos , Determinación de Punto Final , Nivel sin Efectos Adversos Observados , Perfumes/toxicidad , Perfumes/química , Medición de Riesgo , Pruebas de ToxicidadRESUMEN
4-Hexen-1-ol, 5-methyl-2-(1-methylethenyl)- was evaluated for genotoxicity, repeated dose toxicity, reproductive toxicity, local respiratory toxicity, photoirritation/photoallergenicity, skin sensitization, and environmental safety. Data show that 4-hexen-1-ol, 5-methyl-2-(1-methylethenyl)- is not genotoxic. The repeated dose, reproductive, and local respiratory toxicity endpoints were evaluated using the Threshold of Toxicological Concern (TTC) for a Cramer Class I material, and the exposure to 4-hexen-1-ol, 5-methyl-2-(1-methylethenyl)- is below the TTC (0.03 mg/kg/day, 0.03 mg/kg/day, and 1.4 mg/day, respectively). Data from read-across analog 3-methylbut-3-en-1-ol (CAS # 763-32-6) show that there are no safety concerns for 4-hexen-1-ol, 5-methyl-2-(1-methylethenyl)- for skin sensitization under the current declared levels of use. The photoirritation/photoallergenicity endpoints were evaluated based on ultraviolet/visible (UV/Vis) spectra; 4-hexen-1-ol, 5-methyl-2-(1-methylethenyl)- is not expected to be photoirritating/photoallergenic. The environmental endpoints were evaluated; 4-hexen-1-ol, 5-methyl-2-(1-methylethenyl)- was found not to be Persistent, Bioaccumulative, and Toxic (PBT) as per the International Fragrance Association (IFRA) Environmental Standards, and its risk quotients, based on its current volume of use (VoU) in Europe and North America (i.e., Predicted Environmental Concentration/Predicted No Effect Concentration [PEC/PNEC]), are <1.
Asunto(s)
Perfumes , Animales , Humanos , Hexanoles/toxicidad , Hexanoles/química , Pruebas de Mutagenicidad , Odorantes , Perfumes/toxicidad , Perfumes/química , Medición de Riesgo , Pruebas de ToxicidadRESUMEN
The prevalence of fragrances in various hygiene products contributes to their sensorial allure. However, fragrances can induce sensitization in the skin or respiratory system, and the mechanisms involved in this process are incompletely understood. This study investigated the intricate mechanisms underlying the fragrance's effects on sensitization response, focusing on the interplay between CYP450 enzymes, a class of drug-metabolizing enzymes, and the adaptive immune system. Specifically, we assessed the expression of CYP450 enzymes and cytokine profiles in culture of BEAS-2B and mature dendritic cells (mDC) alone or in co-culture stimulated with 2 mM of a common fragrance, cinnamyl alcohol (CA) for 20 h. CYP1A1, CYP1A2, CYP1B1, CYP2A6, and CYP2A13 were analyzed by RT-PCR and IL-10, IL-12p70, IL-18, IL-33, and thymic stromal lymphopoietin (TSLP) by Cytometric Bead Array (CBA). Through RT-PCR analysis, we observed that CA increased CYP1A2 and CYP1B1 expression in BEAS-2B, with a further increased in BEAS-2B-mDC co-culture. Additionally, exposure to CA increased IL-12p70 levels in mDC rather than in BEAS-2B-mDC co-culture. In regards to IL-18, level was higher in BEAS-2B than in BEAS-2B-mDC co-culture. A positive correlation between the levels of IL-10 and CYP1B1 was found in mDC-CA-exposed and between IL-12p70 and CYP1A1 was found in BEAS-2B after CA exposure. However, IL-12p70 and CYP1A2 as well as IL-18, IL-33, and CYP1A1 levels were negative, correlated mainly in co-culture control. These correlations highlight potential immunomodulatory interactions and complex regulatory relationships. Overall, exposure to CA enhances CYP450 expression, suggesting that CA can influence immune responses by degrading ligands on xenosensitive transcription factors.