1
|
Pesqué D, Planella-Fontanillas N, Borrego L, Sanz-Sánchez T, Zaragoza-Ninet V, Serra-Baldrich E, Miquel-Miquel FJ, Silvestre-Salvador JF, Córdoba-Guijarro S, Sánchez-Gilo A, Mercader-García P, Navarro-Triviño FJ, Ortiz-de-Frutos FJ, Tous-Romero F, Rodríguez-Serna M, Melé-Ninot G, Barrabés-Torrella C, Ruiz-González I, Pastor-Nieto MA, Carrascosa-Carrillo JM, Gómez-de-la-Fuente E, Sánchez-Pedreño-Guillén P, Sánchez-Pérez J, Pereyra-Rodríguez JJ, Gatica-Ortega ME, González-Pérez R, Pujol RM, Descalzo MÁG, García-Doval I, Giménez-Arnau AM. Patch test results to the Spanish baseline patch test series according to age groups: A multicentric prospective study from 2019 to 2023. Contact Dermatitis 2024. [PMID: 39394969 DOI: 10.1111/cod.14702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2024] [Revised: 08/08/2024] [Accepted: 09/12/2024] [Indexed: 10/14/2024]
Abstract
INTRODUCTION Patch test results may be influenced by age-related factors. However, there is still discordant evidence between age and patch test results. OBJECTIVES We aim to evaluate the patch test results reflecting skin sensitisation, their relevance and association with clinical features by age group. METHODS Prospective multicentric study of all patients patch tested with the Spanish baseline series in participating centres. Age groups were pre-defined as children (0- to 11-years), adolescents (12- to 18-years), young adults (19- to 30-years), middle-aged adults (31- to 65-years) and older adults (≥66-years). Occurrence of sensitisation, relevance and clinical features were compared by age group. Factors associated with skin sensitisation were investigated with multivariate logistic regression. RESULTS A total of 13 368 patients were patch-tested. Differences in positive patch test results and relevance by age were detected with the highest proportion in middle-aged adults. Age-related trend differences were found for nickel, potassium dichromate, caines, colophony, Myroxylon pereirae resin, 2-hydroxyethyl methacrylate and limonene hydroperoxide. The multivariate logistic analysis (adjusted for sex, atopic dermatitis, body location and occupational dermatitis) showed an association between the age group of 31-65 (OR: 1.41, 95% CI: 1.26-1.58) and above 66-years (OR: 1.15, 95% CI: 1.01-1.32) with a higher proportion of positive results, compared with young adults. CONCLUSIONS Positive patch test results vary according to age, with the highest occurrence in middle-aged adults. Most haptens did not present age-related differences, reinforcing the use of baseline series regardless of age.
Collapse
Affiliation(s)
- David Pesqué
- Servicio de Dermatología, Hospital del Mar Research Institute, Barcelona, Spain
- Departament de Medicina, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Nidia Planella-Fontanillas
- Servicio de Dermatología, Hospital del Mar Research Institute, Barcelona, Spain
- Departament de Medicina, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Leopoldo Borrego
- Servicio de Dermatología, Hospital Universitario Insular de Gran Canaria, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - Tatiana Sanz-Sánchez
- Servicio de Dermatología, Hospital Universitario Infanta Sofía, Universidad Europea, Madrid, Spain
| | | | | | | | | | | | - Araceli Sánchez-Gilo
- Servicio de Dermatología, Hospital Universitario Rey Juan Carlos, Móstoles, Spain
| | - Pedro Mercader-García
- Servicio de Dermatología, Hospital General Universitario José María Morales Meseguer, Murcia, Spain
| | | | | | | | | | - Gemma Melé-Ninot
- Servicio de Dermatología, Hospital Universitari Sagrat Cor, Grupo Quirónsalud, Barcelona, Spain
| | | | | | - María Antonia Pastor-Nieto
- Servicio de Dermatología, Hospital Universitario de Guadalajara, Guadalajara, Spain
- Servicio de Dermatología, Hospital Fundación Jiménez-Díaz, Madrid, Spain
| | | | | | | | | | - José Juan Pereyra-Rodríguez
- Servicio de Dermatología, Hospital Universitario Virgen del Rocío, Sevilla, Spain
- Facultad de Medicina, Universidad de Sevilla, Sevilla, Spain
| | | | - Ricardo González-Pérez
- Servicio de Dermatología, Hospital Universitario Araba, Universidad del País Vasco, Vitoria-Gasteiz, Spain
| | - Ramon Maria Pujol
- Servicio de Dermatología, Hospital del Mar Research Institute, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
| | | | - Ignacio García-Doval
- Unidad de Investigación, Academia Española de Dermatología y Venereología, Madrid, Spain
- Servicio de Dermatología, Complexo Hospitalario Universitario de Vigo, Vigo, Spain
| | - Ana María Giménez-Arnau
- Servicio de Dermatología, Hospital del Mar Research Institute, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
| |
Collapse
|
2
|
Das RK, Arnaud K, Clayton AS. Trends in consumer product-related contact dermatitis in hospital emergency departments, 2003-2022. Clin Dermatol 2024; 42:517-519. [PMID: 38762202 DOI: 10.1016/j.clindermatol.2024.05.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/20/2024]
Affiliation(s)
- Rishub K Das
- Department of Dermatology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
| | - Karen Arnaud
- Department of Dermatology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Anna S Clayton
- Department of Dermatology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| |
Collapse
|
3
|
Wang H, Huang Z, Lou S, Li W, Liu G, Tang Y. In Silico Prediction of Skin Sensitization for Compounds via Flexible Evidence Combination Based on Machine Learning and Dempster-Shafer Theory. Chem Res Toxicol 2024; 37:894-909. [PMID: 38753056 DOI: 10.1021/acs.chemrestox.3c00396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/18/2024]
Abstract
Skin sensitization is increasingly becoming a significant concern in the development of drugs and cosmetics due to consumer safety and occupational health problems. In silico methods have emerged as alternatives to traditional in vivo animal testing due to ethical and economic considerations. In this study, machine learning methods were used to build quantitative structure-activity relationship (QSAR) models on five skin sensitization data sets (GPMT, LLNA, DPRA, KeratinoSens, and h-CLAT), achieving effective predictive accuracies (correct classification rates of 0.688-0.764 on test sets). To address the complex mechanisms of human skin sensitization, the Dempster-Shafer theory was applied to merge multiple QSAR models, resulting in an evidence-based integrated decision model. Various evidence combinations and combination rules were explored, with the self-defined Q3 rule showing superior balance. The combination of evidence such as GPMT and KeratinoSens and h-CLAT achieved a correct classification rate (CCR) of 0.880 and coverage of 0.893 while maintaining the competitiveness of other combinations. Additionally, the Shapley additive explanations (SHAP) method was used to interpret important features and substructures related to skin sensitization. A comparative analysis of an external human test set demonstrated the superior performance of the proposed method. Finally, to enhance accessibility, the workflow was implemented into a user-friendly software named HSkinSensDS.
Collapse
Affiliation(s)
- Haoqiang Wang
- Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
| | - Zejun Huang
- Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
| | - Shang Lou
- Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
| | - Weihua Li
- Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
| | - Guixia Liu
- Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
| | - Yun Tang
- Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
| |
Collapse
|
4
|
Strickland J, Abedini J, Allen DG, Gordon J, Hull V, Kleinstreuer NC, Ko HS, Matheson J, Thierse HJ, Truax J, Vanselow JT, Herzler M. A database of human predictive patch test data for skin sensitization. Arch Toxicol 2023; 97:2825-2837. [PMID: 37615678 PMCID: PMC10504114 DOI: 10.1007/s00204-023-03530-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 05/24/2023] [Indexed: 08/25/2023]
Abstract
Critical to the evaluation of non-animal tests are reference data with which to assess their relevance. Animal data are typically used because they are generally standardized and available. However, when regulatory agencies aim to protect human health, human reference data provide the benefit of not having to account for possible interspecies variability. To support the evaluation of non-animal approaches for skin sensitization assessment, we collected data from 2277 human predictive patch tests (HPPTs), i.e., human repeat insult patch tests and human maximization tests, for skin sensitization from 1555 publications. We recorded protocol elements and positive or negative outcomes, developed a scoring system to evaluate each test for reliability, and calculated traditional and non-traditional dose metrics. We also traced each test result back to its original report to remove duplicates. The resulting database, which contains information for 1366 unique substances, was characterized for physicochemical properties, chemical structure categories, and protein binding mechanisms. This database is publicly available on the National Toxicology Program Interagency Center for the Evaluation of Alternative Toxicological Methods website and in the Integrated Chemical Environment to serve as a resource for additional evaluation of alternative methods and development of new approach methodologies for skin sensitization assessments.
Collapse
Affiliation(s)
| | | | | | - John Gordon
- United States Consumer Product Safety Commission, Bethesda, MD, USA
| | | | - Nicole C Kleinstreuer
- National Institutes of Health, National Institute of Environmental Health Sciences, Division of Translational Toxicology, National Toxicology Program Interagency Center for the Evaluation of Alternative Toxicological Methods, Research Triangle Park, NC, USA
| | - Hon-Sum Ko
- United States Food and Drug Administration, Silver Spring, MD, USA
| | - Joanna Matheson
- United States Consumer Product Safety Commission, Bethesda, MD, USA
| | | | | | - Jens T Vanselow
- German Federal Institute for Risk Assessment (BfR), Berlin, Germany
| | - Matthias Herzler
- German Federal Institute for Risk Assessment (BfR), Berlin, Germany
| |
Collapse
|
5
|
Banerjee A, Roy K. Read-across-based intelligent learning: development of a global q-RASAR model for the efficient quantitative predictions of skin sensitization potential of diverse organic chemicals. ENVIRONMENTAL SCIENCE. PROCESSES & IMPACTS 2023; 25:1626-1644. [PMID: 37682520 DOI: 10.1039/d3em00322a] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/09/2023]
Abstract
Environmental chemicals and contaminants cause a wide array of harmful implications to terrestrial and aquatic life which ranges from skin sensitization to acute oral toxicity. The current study aims to assess the quantitative skin sensitization potential of a large set of industrial and environmental chemicals acting through different mechanisms using the novel quantitative Read-Across Structure-Activity Relationship (q-RASAR) approach. Based on the identified important set of structural and physicochemical features, Read-Across-based hyperparameters were optimized using the training set compounds followed by the calculation of similarity and error-based RASAR descriptors. Data fusion, further feature selection, and removal of prediction confidence outliers were performed to generate a partial least squares (PLS) q-RASAR model, followed by the application of various Machine Learning (ML) tools to check the quality of predictions. The PLS model was found to be the best among different models. A simple user-friendly Java-based software tool was developed based on the PLS model, which efficiently predicts the toxicity value(s) of query compound(s) along with their status of Applicability Domain (AD) in terms of leverage values. This model has been developed using structurally diverse compounds and is expected to predict efficiently and quantitatively the skin sensitization potential of environmental chemicals to estimate their occupational and health hazards.
Collapse
Affiliation(s)
- Arkaprava Banerjee
- Drug Theoretics and Cheminformatics Laboratory, Department of Pharmaceutical Technology, Jadavpur University, Kolkata 700032, India.
| | - Kunal Roy
- Drug Theoretics and Cheminformatics Laboratory, Department of Pharmaceutical Technology, Jadavpur University, Kolkata 700032, India.
| |
Collapse
|
6
|
Stoeva I, Kanazirska P, Dogandzhiyska V, Karova E, Tomova Z, Chervenkov L. Patch test results in dental staff with dermatitis. Australas J Dermatol 2023; 64:346-353. [PMID: 37353940 DOI: 10.1111/ajd.14112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Revised: 05/31/2023] [Accepted: 06/11/2023] [Indexed: 06/25/2023]
Abstract
BACKGROUND Dental workers are exposed to allergenic materials in the workplace. OBJECTIVES To summarize patch test results in dental staff with work-related dermatitis. MATERIALS AND METHODS Cross-sectional study of dental staff with dermatitis was conducted. Symptoms, clinical findings and results from patch tests with 40 dental allergens were summarized. RESULTS Of 329 participants, 155 (47.1%) had at least one positive patch reaction. The highest frequency of positive reactions was observed for metals (38.6%), acrylics (7.3%) and additives in acrylic resins (3.6%). One hundred and eighty-five (56.2%) participants were currently symptomatic; in this group, 79 (42.7%) had current dermatitis. Thirty-eight patients had at least one positive patch test considered occupationally related to their current dermatitis. CONCLUSION Almost half of the dental staff with dermatitis had at least one positive patch test and approximately 12% had current occupational relevance of the allergens. Our results underscore the importance of patch testing in the evaluation of dental staff with dermatitis.
Collapse
Affiliation(s)
- Iliyana Stoeva
- Department of Diagnostic Imaging, Dental Allergology and Physiotherapy, Faculty of Dental Medicine, Medical University of Plovdiv, Plovdiv, Bulgaria
| | - Petya Kanazirska
- Department of Diagnostic Imaging, Dental Allergology and Physiotherapy, Faculty of Dental Medicine, Medical University of Plovdiv, Plovdiv, Bulgaria
| | - Violeta Dogandzhiyska
- Department of Conservative Dentistry, Faculty of Dental Medicine, Medical University of Sofia, Sofia, Bulgaria
| | - Emilia Karova
- Department of Conservative Dentistry, Faculty of Dental Medicine, Medical University of Sofia, Sofia, Bulgaria
| | - Zlatina Tomova
- Department of Prosthetic Dental Medicine, Faculty of Dental Medicine, Medical University of Plovdiv, Plovdiv, Bulgaria
| | - Lyubomir Chervenkov
- Department of Diagnostic Imaging, Medical Faculty, Medical University of Plovdiv, Plovdiv, Bulgaria
| |
Collapse
|
7
|
Mortada WI, El-Naggar A, Mosa A, Palansooriya KN, Yousaf B, Tang R, Wang S, Cai Y, Chang SX. Biogeochemical behaviour and toxicology of chromium in the soil-water-human nexus: A review. CHEMOSPHERE 2023; 331:138804. [PMID: 37137390 DOI: 10.1016/j.chemosphere.2023.138804] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 04/25/2023] [Accepted: 04/27/2023] [Indexed: 05/05/2023]
Abstract
Chromium (Cr) affects human health if it accumulates in organs to elevated concentrations. The toxicity risk of Cr in the ecosphere depends upon the dominant Cr species and their bioavailability in the lithosphere, hydrosphere, and biosphere. However, the soil-water-human nexus that controls the biogeochemical behaviour of Cr and its potential toxicity is not fully understood. This paper synthesizes information on different dimensions of Cr ecotoxicological hazards in the soil and water and their subsequent effects on human health. The various routes of environmental exposure of Cr to humans and other organisms are also discussed. Human exposure to Cr(VI) causes both carcinogenic and non-carcinogenic health effects via complicated reactions that include oxidative stress, chromosomal and DNA damage, and mutagenesis. Chromium (VI) inhalation can cause lung cancer; however, incidences of other types of cancer following Cr(VI) exposure are low but probable. The non-carcinogenic health consequences of Cr(VI) exposure are primarily respiratory and cutaneous. Research on the biogeochemical behaviour of Cr and its toxicological hazards on human and other biological routes is therefore urgently needed to develop a holistic approach to understanding the soil-water-human nexus that controls the toxicological hazards of Cr and its detoxification.
Collapse
Affiliation(s)
- Wael I Mortada
- Urology and Nephrology Center, Mansoura University, Mansoura, 35516, Egypt
| | - Ali El-Naggar
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an, 311300, China; Department of Soil Sciences, Faculty of Agriculture, Ain Shams University, Cairo, 11241, Egypt; Department of Renewable Resources, University of Alberta, Edmonton, Alberta, T6G 2H1, Canada
| | - Ahmed Mosa
- Soils Department, Faculty of Agriculture, Mansoura University, Mansoura, 35516, Egypt.
| | | | - Balal Yousaf
- CAS-Key Laboratory of Crust-Mantle Materials and the Environments, School of Earth and Space Sciences, University of Science and Technology of China, Hefei, 230026, China; Department of Environmental Engineering, Middle East Technical University, Ankara, 06800, Turkey
| | - Ronggui Tang
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an, 311300, China
| | - Shengsen Wang
- College of Environmental Science and Engineering, Yangzhou University, 196 W Huayang Rd, Yangzhou, Jiangsu, PR China
| | - Yanjiang Cai
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an, 311300, China
| | - Scott X Chang
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an, 311300, China; Department of Renewable Resources, University of Alberta, Edmonton, Alberta, T6G 2H1, Canada.
| |
Collapse
|
8
|
Sawada Y. Occupational Skin Dermatitis among Healthcare Workers Associated with the COVID-19 Pandemic: A Review of the Literature. Int J Mol Sci 2023; 24:ijms24032989. [PMID: 36769309 PMCID: PMC9918113 DOI: 10.3390/ijms24032989] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 01/31/2023] [Accepted: 02/01/2023] [Indexed: 02/05/2023] Open
Abstract
The skin is the outermost layer of the human body and is continually exposed to numerous external stimuli, which can cause unwanted skin irritation. Occupational skin diseases are the most prevalent form of work-related illness and are found in a variety of sectors, particularly healthcare. During the recent COVID-19 pandemic, healthcare professionals experienced a variety of unexpected, unusual occupational skin diseases associated with COVID-19-engaged employment. Because the clinical characteristics of these types of skin inflammation are unique, this review focuses on the characteristics of a large category of occupational workers, namely COVID-19-engaged healthcare professionals. Furthermore, we examined the potential pathogeneses of occupational skin disorders associated with COVID-19-engaged labor, as well as different preventative methods.
Collapse
Affiliation(s)
- Yu Sawada
- Department of Dermatology, University of Occupational and Environmental Health, 1-1, Iseigoaka, Yahatanishi-Ku, Kitakyushu 807-8555, Fukuoka, Japan
| |
Collapse
|
9
|
Xiao T, Sun M, Zhao C, Kang J. TRPV1: A promising therapeutic target for skin aging and inflammatory skin diseases. Front Pharmacol 2023; 14:1037925. [PMID: 36874007 PMCID: PMC9975512 DOI: 10.3389/fphar.2023.1037925] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 01/20/2023] [Indexed: 02/17/2023] Open
Abstract
TRPV1 is a non-selective channel receptor widely expressed in skin tissues, including keratinocytes, peripheral sensory nerve fibers and immune cells. It is activated by a variety of exogenous or endogenous inflammatory mediators, triggering neuropeptide release and neurogenic inflammatory response. Previous studies have shown that TRPV1 is closely related to the occurrence and/or development of skin aging and various chronic inflammatory skin diseases, such as psoriasis, atopic dermatitis, rosacea, herpes zoster, allergic contact dermatitis and prurigo nodularis. This review summarizes the structure of the TRPV1 channel and discusses the expression of TRPV1 in the skin as well as its role of TRPV1 in skin aging and inflammatory skin diseases.
Collapse
Affiliation(s)
- Tengfei Xiao
- Department of Clinical Laboratory, The Sixth Affiliated Hospital of Nantong University, Yancheng Third People's Hospital, Yancheng, Jiangsu, China
| | - Mingzhong Sun
- Department of Clinical Laboratory, The Sixth Affiliated Hospital of Nantong University, Yancheng Third People's Hospital, Yancheng, Jiangsu, China
| | - Chuanxiang Zhao
- Institute of Medical Genetics and Reproductive Immunity, School of Medical Science and Laboratory Medicine, Jiangsu College of Nursing, Huai'an, Jiangsu, China
| | - Jingjing Kang
- Department of Clinical Laboratory, Affiliated Hospital of Nanjing University Medical School, Yancheng First People's Hospital, Yancheng, Jiangsu, China
| |
Collapse
|
10
|
Anti-Inflammatory and Antioxidant Properties of Physalis alkekengi L. Extracts In Vitro and In Vivo: Potential Application for Skin Care. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2022; 2022:7579572. [PMID: 36310614 PMCID: PMC9605834 DOI: 10.1155/2022/7579572] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 09/22/2022] [Indexed: 01/24/2023]
Abstract
OBJECTIVE Inflammatory skin disorders are becoming major issues threatening public health with increasing prevalence. This study was to evaluate the anti-inflammatory, antioxidant, and antisenescent activities of traditional folk medicinal plant, Physalis alkekengi L. extracts to alleviate skin inflammation and its possible mechanisms. METHODS Lipopolysaccharides (LPS)-treated murine macrophages RAW264.7 and human skin keratinocytes HaCaT were incubated with the plant extracts, respectively. The production of nitric oxide (NO) was tested by using Griess reagents. The activity of nitric oxide synthase (NOS) was detected through a fluorescence microplate reader. Reactive oxygen species (ROS) production and cell apoptosis were quantified by flow cytometry. The proinflammatory cytokines were measured using ELISA and qRT-PCR. Human skin fibroblasts (HFF-1) were coincubated with D-galactose (D-gal) and the plant extracts. The senescence associated-galactosidase (SA-β-gal) was stained to evaluate cellular senescence. The senescence-associated secretory phenotype (SASP), IL-1β, was measured through ELISA. The mRNA of IL-1α in SLS-stimulated and PGE2 in UV-radiated 3D skin models were detected by qRT-PCR. In vivo ROS production and neutrophil recruitment in CuSO4-treated zebrafish models were observed by fluorescence microscopy. Inflammation-related factors were measured by qRT-PCR. Results. In vitro, Physalis alkekengi L. significantly reduced NO production, NOS activity, cell apoptosis, transcription of TNF-α, IL-6, IL-1β and ROS production. These plant extracts markedly attenuated SA-β-gal and IL-1β and downregulated the production of IL-1α and PGE2. In vivo, the plant extracts dramatically dampened ROS production, the number of neutrophils, and proinflammatory cytokines. CONCLUSIONS Cumulatively, this work systematically demonstrated the anti-inflammatory, antioxidant, and antisenescent properties of Physalis alkekengi L. and proposed the possible roles of Physalis alkekengi L. in inflammatory signaling pathways, providing an effective natural product for the treatment of inflammatory skin disorders.
Collapse
|
11
|
Exposure to nanoparticles and occupational allergy. Curr Opin Allergy Clin Immunol 2022; 22:55-63. [DOI: 10.1097/aci.0000000000000818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
|
12
|
Wilm A, Garcia de Lomana M, Stork C, Mathai N, Hirte S, Norinder U, Kühnl J, Kirchmair J. Predicting the Skin Sensitization Potential of Small Molecules with Machine Learning Models Trained on Biologically Meaningful Descriptors. Pharmaceuticals (Basel) 2021; 14:ph14080790. [PMID: 34451887 PMCID: PMC8402010 DOI: 10.3390/ph14080790] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 08/03/2021] [Accepted: 08/06/2021] [Indexed: 02/06/2023] Open
Abstract
In recent years, a number of machine learning models for the prediction of the skin sensitization potential of small organic molecules have been reported and become available. These models generally perform well within their applicability domains but, as a result of the use of molecular fingerprints and other non-intuitive descriptors, the interpretability of the existing models is limited. The aim of this work is to develop a strategy to replace the non-intuitive features by predicted outcomes of bioassays. We show that such replacement is indeed possible and that as few as ten interpretable, predicted bioactivities are sufficient to reach competitive performance. On a holdout data set of 257 compounds, the best model (“Skin Doctor CP:Bio”) obtained an efficiency of 0.82 and an MCC of 0.52 (at the significance level of 0.20). Skin Doctor CP:Bio is available free of charge for academic research. The modeling strategies explored in this work are easily transferable and could be adopted for the development of more interpretable machine learning models for the prediction of the bioactivity and toxicity of small organic compounds.
Collapse
Affiliation(s)
- Anke Wilm
- Center for Bioinformatics (ZBH), Department of Informatics, Universität Hamburg, 20146 Hamburg, Germany; (A.W.); (C.S.)
- HITeC e.V., 22527 Hamburg, Germany
| | - Marina Garcia de Lomana
- Department of Pharmaceutical Sciences, Faculty of Life Sciences, University of Vienna, 1090 Vienna, Austria; (M.G.d.L.); (S.H.)
| | - Conrad Stork
- Center for Bioinformatics (ZBH), Department of Informatics, Universität Hamburg, 20146 Hamburg, Germany; (A.W.); (C.S.)
| | - Neann Mathai
- Computational Biology Unit (CBU), Department of Chemistry, University of Bergen, N-5020 Bergen, Norway;
| | - Steffen Hirte
- Department of Pharmaceutical Sciences, Faculty of Life Sciences, University of Vienna, 1090 Vienna, Austria; (M.G.d.L.); (S.H.)
| | - Ulf Norinder
- MTM Research Centre, School of Science and Technology, Örebro University, SE-70182 Örebro, Sweden;
- Department of Computer and Systems Sciences, Stockholm University, SE-16407 Kista, Sweden
- Department of Pharmaceutical Biosciences, Uppsala University, SE-75124 Uppsala, Sweden
| | - Jochen Kühnl
- Front End Innovation, Beiersdorf AG, 22529 Hamburg, Germany;
| | - Johannes Kirchmair
- Center for Bioinformatics (ZBH), Department of Informatics, Universität Hamburg, 20146 Hamburg, Germany; (A.W.); (C.S.)
- Department of Pharmaceutical Sciences, Faculty of Life Sciences, University of Vienna, 1090 Vienna, Austria; (M.G.d.L.); (S.H.)
- Correspondence: ; Tel.: +43-1-4277-55104
| |
Collapse
|
13
|
Affiliation(s)
- Lara E Saikaly
- Alabama College of Osteopathic Medicine, Dothan, Alabama
| | - Sami K Saikaly
- Department of Dermatology, University of Florida, Gainesville, Florida
| | - Kiran Motaparthi
- Department of Dermatology, University of Florida, Gainesville, Florida
| |
Collapse
|
14
|
Adsorption of Azo-Anionic Dyes in a Solution Using Modified Coconut (Cocos nucifera) Mesocarp: Kinetic and Equilibrium Study. WATER 2021. [DOI: 10.3390/w13101382] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The effect of adsorbent dose and initial concentration on removing the azo-anionic dyes Congo Red andtartrazine present in a synthetic aqueous solution was studied using natural cellulose (CC) and modified cationic cellulose (MCC) from coconut mesocarp. Three levels of adsorbent dosage (5, 8 and 12 mg/L) and initial concentration (40, 70 and 100 mg/L) were used. Cetyl trimethyl ammonium chloride (CTAC) was used as a modifying agent. TGA and DSC showed that the extracted cellulose was of good quality, composed mostly of cellulose with lignin and hemicellulose traces, and 8% moisture. The FTIR spectrum showed the effectiveness of the modification in the structure of the material with symmetric deformation of the C6H6-Cl group in 1472 cm−1 present in the CTAC. It was found that decreasing the adsorbent dosage and increasing the initial concentration favored the dyes’ adsorption capacity on the two bioadsorbents. Tartrazine removals of 5.67 mg/g on CC and 19.61 mg/g on MCC were achieved, and for CR of 15.52 mg/g on CC and 19.99 with MCC with removal percentages over 97% with the quaternized biomass in all cases. The kinetic and equilibrium study was carried out to identify the mechanisms involved in the adsorption process. The Freundlich model can describe the equilibrium isotherm data of tartrazine on CC and MCC. In contrast, those of CR is defined by the Langmuir and Dubinin–Radushkevic models for CC and MCC, respectively Adsorption kinetics showed that equilibrium was reached at 30 min, with rapid adsorption in the initial minutes with the removal of about 97% of the contaminant in the first 5 min; fitting to kinetic models showed that the kinetics of tartrazine on CC was fitted by Elovich (R2 = 0.756), and on MCC the Elovich (R2 = 0.887) and pseudo-second-order (R2 = 0.999) models. Removing CR on CC was fitted by pseudo-first-order, pseudo-second-order and Elovich models (R2 > 0.98), and when using MCC, all models show a good fitting with R2 = 0.99 in all cases.
Collapse
|