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Brasier N, Sempionatto JR, Bourke S, Havenith G, Schaffarczyk D, Goldhahn J, Lüscher C, Gao W. Towards on-skin analysis of sweat for managing disorders of substance abuse. Nat Biomed Eng 2024:10.1038/s41551-024-01187-6. [PMID: 38499644 DOI: 10.1038/s41551-024-01187-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/20/2024]
Affiliation(s)
- Noe Brasier
- Institute of Translational Medicine, Department of Health Science and Technology, ETH Zurich, Zurich, Switzerland.
- Collegium Helveticum, Zurich, Switzerland.
| | - Juliane R Sempionatto
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | | | - George Havenith
- Environmental Ergonomics Research Centre, Loughborough Design School, Loughborough University, Loughborough, UK
| | | | - Jörg Goldhahn
- Institute of Translational Medicine, Department of Health Science and Technology, ETH Zurich, Zurich, Switzerland
| | - Christian Lüscher
- Department of Basic Neurosciences, Medical Faculty, University of Geneva, Geneva, Switzerland
- Clinic of Neurology, Department of Clinical Neurosciences, Geneva University Hospital, Geneva, Switzerland
| | - Wei Gao
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
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2
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Ece E, Ölmez K, Hacıosmanoğlu N, Atabay M, Inci F. Advancing 3D printed microfluidics with computational methods for sweat analysis. Mikrochim Acta 2024; 191:162. [PMID: 38411762 PMCID: PMC10899357 DOI: 10.1007/s00604-024-06231-5] [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: 12/05/2023] [Accepted: 01/18/2024] [Indexed: 02/28/2024]
Abstract
The intricate tapestry of biomarkers, including proteins, lipids, carbohydrates, vesicles, and nucleic acids within sweat, exhibits a profound correlation with the ones in the bloodstream. The facile extraction of samples from sweat glands has recently positioned sweat sampling at the forefront of non-invasive health monitoring and diagnostics. While extant platforms for sweat analysis exist, the imperative for portability, cost-effectiveness, ease of manufacture, and expeditious turnaround underscores the necessity for parameters that transcend conventional considerations. In this regard, 3D printed microfluidic devices emerge as promising systems, offering a harmonious fusion of attributes such as multifunctional integration, flexibility, biocompatibility, a controlled closed environment, and a minimal requisite analyte volume-features that leverage their prominence in the realm of sweat analysis. However, formidable challenges, including high throughput demands, chemical interactions intrinsic to the printing materials, size constraints, and durability concerns, beset the landscape of 3D printed microfluidic devices. Within this paradigm, we expound upon the foundational aspects of 3D printed microfluidic devices and proffer a distinctive perspective by delving into the computational study of printing materials utilizing density functional theory (DFT) and molecular dynamics (MD) methodologies. This multifaceted approach serves manifold purposes: (i) understanding the complexity of microfluidic systems, (ii) facilitating comprehensive analyses, (iii) saving both cost and time, (iv) improving design optimization, and (v) augmenting resolution. In a nutshell, the allure of 3D printing lies in its capacity for affordable and expeditious production, offering seamless integration of diverse components into microfluidic devices-a testament to their inherent utility in the domain of sweat analysis. The synergistic fusion of computational assessment methodologies with materials science not only optimizes analysis and production processes, but also expedites their widespread accessibility, ensuring continuous biomarker monitoring from sweat for end-users.
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Affiliation(s)
- Emre Ece
- UNAM-National Nanotechnology Research Center, Bilkent University, 06800, Ankara, Turkey
- Institute of Materials Science and Nanotechnology, Bilkent University, 06800, Ankara, Turkey
| | - Kadriye Ölmez
- UNAM-National Nanotechnology Research Center, Bilkent University, 06800, Ankara, Turkey
- Institute of Materials Science and Nanotechnology, Bilkent University, 06800, Ankara, Turkey
| | - Nedim Hacıosmanoğlu
- UNAM-National Nanotechnology Research Center, Bilkent University, 06800, Ankara, Turkey
- Institute of Materials Science and Nanotechnology, Bilkent University, 06800, Ankara, Turkey
| | - Maryam Atabay
- UNAM-National Nanotechnology Research Center, Bilkent University, 06800, Ankara, Turkey
- Department of Chemistry, Hacettepe University, 06800, Ankara, Turkey
| | - Fatih Inci
- UNAM-National Nanotechnology Research Center, Bilkent University, 06800, Ankara, Turkey.
- Institute of Materials Science and Nanotechnology, Bilkent University, 06800, Ankara, Turkey.
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3
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Saldanha DJ, Cai A, Dorval Courchesne NM. The Evolving Role of Proteins in Wearable Sweat Biosensors. ACS Biomater Sci Eng 2023; 9:2020-2047. [PMID: 34491052 DOI: 10.1021/acsbiomaterials.1c00699] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Sweat is an increasingly popular biological medium for fitness monitoring and clinical diagnostics. It contains an abundance of biological information and is available continuously and noninvasively. Sweat-sensing devices often employ proteins in various capacities to create skin-friendly matrices that accurately extract valuable and time-sensitive information from sweat. Proteins were first used in sensors as biorecognition elements in the form of enzymes and antibodies, which are now being tuned to operate at ranges relevant for sweat. In addition, a range of structural proteins, sometimes assembled in conjunction with polymers, can provide flexible and compatible matrices for skin sensors. Other proteins also naturally possess a range of functionalities─as adhesives, charge conductors, fluorescence emitters, and power generators─that can make them useful components in wearable devices. Here, we examine the four main components of wearable sweat sensors─the biorecognition element, the transducer, the scaffold, and the adhesive─and the roles that proteins have played so far, or promise to play in the future, in each component. On a case-by-case basis, we analyze the performance characteristics of existing protein-based devices, their applicable ranges of detection, their transduction mechanism and their mechanical properties. Thereby, we review and compare proteins that can readily be used in sweat sensors and others that will require further efforts to overcome design, stability or scalability challenges. Incorporating proteins in one or multiple components of sweat sensors could lead to the development and deployment of tunable, greener, and safer biosourced devices.
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Affiliation(s)
- Dalia Jane Saldanha
- Department of Chemical Engineering, McGill University, Montréal, Québec, Canada H3A 0C5
| | - Anqi Cai
- Department of Chemical Engineering, McGill University, Montréal, Québec, Canada H3A 0C5
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Cheng Y, Feng S, Ning Q, Li T, Xu H, Sun Q, Cui D, Wang K. Dual-signal readout paper-based wearable biosensor with a 3D origami structure for multiplexed analyte detection in sweat. MICROSYSTEMS & NANOENGINEERING 2023; 9:36. [PMID: 36999140 PMCID: PMC10042807 DOI: 10.1038/s41378-023-00514-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 02/08/2023] [Accepted: 03/01/2023] [Indexed: 06/19/2023]
Abstract
In this research, we design and implement a small, convenient, and noninvasive paper-based microfluidic sweat sensor that can simultaneously detect multiple key biomarkers in human sweat. The origami structure of the chip includes colorimetric and electrochemical sensing regions. Different colorimetric sensing regions are modified with specific chromogenic reagents to selectively identify glucose, lactate, uric acid, and magnesium ions in sweat, as well as the pH value. The regions of electrochemical sensing detect cortisol in sweat by molecular imprinting. The entire chip is composed of hydrophilically and hydrophobically treated filter paper, and 3D microfluidic channels are constructed by using folding paper. The thread-based channels formed after the hydrophilic and hydrophobic modifications are used to control the rate of sweat flow, which in turn can be used to control the sequence of reactions in the differently developing colored regions to ensure that signals of the best color can be captured simultaneously by the colorimetric sensing regions. Finally, the results of on-body experiments verify the reliability of the proposed sweat sensor and its potential for the noninvasive identification of a variety of sweat biomarkers.
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Affiliation(s)
- Yuemeng Cheng
- School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Key Laboratory of Thin Film and Microfabrication Technology (Ministry of Education), 200240 Shanghai, China
| | - Shaoqing Feng
- Department of Plastic and Reconstructive Surgery, Shanghai Ninth People’s Hospital, Shanghai JiaoTong University School of Medicine, 200011 Shanghai, China
| | - Qihong Ning
- School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Key Laboratory of Thin Film and Microfabrication Technology (Ministry of Education), 200240 Shanghai, China
| | - Tangan Li
- School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Key Laboratory of Thin Film and Microfabrication Technology (Ministry of Education), 200240 Shanghai, China
| | - Hao Xu
- School of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - Qingwen Sun
- School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Key Laboratory of Thin Film and Microfabrication Technology (Ministry of Education), 200240 Shanghai, China
| | - Daxiang Cui
- School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Key Laboratory of Thin Film and Microfabrication Technology (Ministry of Education), 200240 Shanghai, China
| | - Kan Wang
- School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Key Laboratory of Thin Film and Microfabrication Technology (Ministry of Education), 200240 Shanghai, China
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Nafady A, Albaqami MD, Alotaibi AM. CuO nanoparticles embedded in conductive PANI framework for periodic detection of alcohol from sweat. Colloid Polym Sci 2023. [DOI: 10.1007/s00396-023-05086-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/29/2023]
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Yin J, Li J, Reddy VS, Ji D, Ramakrishna S, Xu L. Flexible Textile-Based Sweat Sensors for Wearable Applications. BIOSENSORS 2023; 13:bios13010127. [PMID: 36671962 PMCID: PMC9856321 DOI: 10.3390/bios13010127] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 01/07/2023] [Accepted: 01/10/2023] [Indexed: 06/12/2023]
Abstract
The current physical health care system has gradually evolved into a form of virtual hospitals communicating with sensors, which can not only save time but can also diagnose a patient's physical condition in real time. Textile-based wearable sensors have recently been identified as detection platforms with high potential. They are developed for the real-time noninvasive detection of human physiological information to comprehensively analyze the health status of the human body. Sweat comprises various chemical compositions, which can be used as biomarkers to reflect the relevant information of the human physiology, thus providing references for health conditions. Combined together, textile-based sweat sensors are more flexible and comfortable than other conventional sensors, making them easily integrated into the wearable field. In this short review, the research progress of textile-based flexible sweat sensors was reviewed. Three mechanisms commonly used for textile-based sweat sensors were firstly contrasted with an introduction to their materials and preparation processes. The components of textile-based sweat sensors, which mainly consist of a sweat transportation channel and collector, a signal-selection unit, sensing elements and sensor integration and communication technologies, were reviewed. The applications of textile-based sweat sensors with different mechanisms were also presented. Finally, the existing problems and challenges of sweat sensors were summarized, which may contribute to promote their further development.
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Affiliation(s)
- Jing Yin
- National Engineering Laboratory for Modern Silk, College of Textile and Clothing Engineering, Soochow University, Suzhou 215123, China
- Centre for Nanotechnology and Sustainability, Department of Mechanical Engineering, National University of Singapore, Singapore 117574, Singapore
| | - Jingcheng Li
- Centre for Nanotechnology and Sustainability, Department of Mechanical Engineering, National University of Singapore, Singapore 117574, Singapore
| | - Vundrala Sumedha Reddy
- Centre for Nanotechnology and Sustainability, Department of Mechanical Engineering, National University of Singapore, Singapore 117574, Singapore
| | - Dongxiao Ji
- College of Textiles, Donghua University, Shanghai 201620, China
| | - Seeram Ramakrishna
- Centre for Nanotechnology and Sustainability, Department of Mechanical Engineering, National University of Singapore, Singapore 117574, Singapore
| | - Lan Xu
- National Engineering Laboratory for Modern Silk, College of Textile and Clothing Engineering, Soochow University, Suzhou 215123, China
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Singh A, Ahmed A, Sharma A, Arya S. Graphene and Its Derivatives: Synthesis and Application in the Electrochemical Detection of Analytes in Sweat. BIOSENSORS 2022; 12:bios12100910. [PMID: 36291046 PMCID: PMC9599499 DOI: 10.3390/bios12100910] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 10/07/2022] [Accepted: 10/15/2022] [Indexed: 05/25/2023]
Abstract
Wearable sensors and invasive devices have been studied extensively in recent years as the demand for real-time human healthcare applications and seamless human-machine interaction has risen exponentially. An explosion in sensor research throughout the globe has been ignited by the unique features such as thermal, electrical, and mechanical properties of graphene. This includes wearable sensors and implants, which can detect a wide range of data, including body temperature, pulse oxygenation, blood pressure, glucose, and the other analytes present in sweat. Graphene-based sensors for real-time human health monitoring are also being developed. This review is a comprehensive discussion about the properties of graphene, routes to its synthesis, derivatives of graphene, etc. Moreover, the basic features of a biosensor along with the chemistry of sweat are also discussed in detail. The review mainly focusses on the graphene and its derivative-based wearable sensors for the detection of analytes in sweat. Graphene-based sensors for health monitoring will be examined and explained in this study as an overview of the most current innovations in sensor designs, sensing processes, technological advancements, sensor system components, and potential hurdles. The future holds great opportunities for the development of efficient and advanced graphene-based sensors for the detection of analytes in sweat.
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Annerino A, Faltas M, Srinivasan M, Gouma PI. Towards skin-acetone monitors with selective sensitivity: Dynamics of PANI-CA films. PLoS One 2022; 17:e0267311. [PMID: 35476814 PMCID: PMC9045607 DOI: 10.1371/journal.pone.0267311] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 04/06/2022] [Indexed: 11/18/2022] Open
Abstract
Most research aimed at measuring biomarkers on the skin is only concerned with sensing chemicals in sweat using electrical signals, but these methods are not truly non-invasive nor non-intrusive because they require substantial amounts of sweat to get a reading. This project aims to create a truly non-invasive wearable sensor that continuously detects the gaseous acetone (a biomarker related to metabolic disorders) that ambiently comes out of the skin. Composite films of polyaniline and cellulose acetate, exhibiting chemo-mechanical actuation upon exposure to gaseous acetone, were tested in the headspaces above multiple solutions containing acetone, ethanol, and water to gauge response sensitivity, selectivity, and repeatability. The bending of the films in response to exposures to these environments was tracked by an automatic video processing code, which was found to out-perform an off-the-shelf deep neural network-based tracker. Using principal component analysis, we showed that the film bending is low dimensional with over 90% of the shape changes being captured with just two parameters. We constructed forward models to predict shape changes from the known exposure history and found that a linear model can explain 40% of the observed variance in film tip angle changes. We constructed inverse models, going from third order fits of shape changes to acetone concentrations where about 45% of the acetone variation and about 30% of ethanol variation are captured by linear models, and non-linear models did not perform substantially better. This suggests there is sufficient sensitivity and inherent selectivity of the films. These models, however, provide evidence for substantial hysteretic or long-time-scale responses of the PANI films, seemingly due to the presence of water. Further experiments will allow more accurate discrimination of unknown exposure environments. Nevertheless, the sensor will operate with high selectivity in low sweat body locations, like behind the ear or on the nails.
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Affiliation(s)
- Anthony Annerino
- Material Science and Engineering, The Ohio State University, Columbus, OH, United States of America
- * E-mail:
| | - Michael Faltas
- Material Science and Engineering, The Ohio State University, Columbus, OH, United States of America
| | - Manoj Srinivasan
- Mechanical and Aerospace Engineering, The Ohio State University, Columbus, OH, United States of America
- Program in Biophysics, The Ohio State University, Columbus, OH, United States of America
| | - Pelagia-Irene Gouma
- Material Science and Engineering, The Ohio State University, Columbus, OH, United States of America
- Mechanical and Aerospace Engineering, The Ohio State University, Columbus, OH, United States of America
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Lin PH, Sheu SC, Chen CW, Huang SC, Li BR. Wearable hydrogel patch with noninvasive, electrochemical glucose sensor for natural sweat detection. Talanta 2022; 241:123187. [PMID: 35030501 DOI: 10.1016/j.talanta.2021.123187] [Citation(s) in RCA: 45] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Revised: 11/22/2021] [Accepted: 12/26/2021] [Indexed: 12/27/2022]
Abstract
Recent advances in microelectronics and electrochemical sensing platforms have preceded the development of devices for personal monitoring and managing physiological and metabolic information that exploit sweat as a noninvasive, convenient approach for providing information about underlying health conditions, such as glucose level monitoring. Although most sweat glucose sensors have targeted applications during exercise and other active stimulation induced-sweat, natural sweating offers an attractive alternative with minimal effect on users that can be accessed during routine and sedentary activities without impeding personal lifestyle and preserves the correlation between blood and sweat glucose. Here, we present a noninvasive sweat glucose sensor with convenient hydrogel patches for rapid sampling of natural perspiration without external activities that stimulate sweating. The wearable hydrogel patch rapidly takes up natural sweat from the hand and serves as a medium for electrochemical sensing. A prussian blue-doped poly(3,4-ethylenedioxythiophene nanocomposite (PB-PEDOT NC) electrode provides cost-effective, stable and excellent electrocatalytic activity in sweat glucose measurements. We demonstrated sweat glucose sensor functionality by long-term measurements of glucose in sweat from human subjects consuming food and drinks. By enabling the analysis of sweat glucose during routine and sedentary activities, the sweat glucose sensor shows great promise for clinical-grade glucose management and enlarges the scope of next-generation noninvasive sensing systems.
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Affiliation(s)
- Pei-Heng Lin
- Institute of Biomedical Engineering, College of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan; Department of Electrical and Computer Engineering, College of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
| | - Sian-Chen Sheu
- Institute of Biomedical Engineering, College of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
| | - Chien-Wei Chen
- Institute of Biomedical Engineering, College of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan; Department of Electrical and Computer Engineering, College of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan; Taiwan Instrument Research Institute, National Applied Research Laboratories, Hsinchu, Taiwan
| | - Sheng-Cih Huang
- Department of Applied Chemistry, College of Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
| | - Bor-Ran Li
- Institute of Biomedical Engineering, College of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan; Department of Electrical and Computer Engineering, College of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan; Center for Emergent Functional Matter Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.
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Szentkereszty-Kovács Z, Gáspár K, Szegedi A, Kemény L, Kovács D, Törőcsik D. Alcohol in Psoriasis-From Bench to Bedside. Int J Mol Sci 2021; 22:ijms22094987. [PMID: 34067223 PMCID: PMC8125812 DOI: 10.3390/ijms22094987] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 05/02/2021] [Accepted: 05/03/2021] [Indexed: 01/22/2023] Open
Abstract
Alcohol affects the symptoms, compliance and comorbidities as well as the safety and efficacy of treatments in psoriatic patients. In this review, we aim to summarize and link clinical observations with a molecular background, such as signaling pathways at the cellular level and genetic variations, and to provide an overview of how this knowledge could influence our treatment selection and patient management.
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Affiliation(s)
- Zita Szentkereszty-Kovács
- Department of Dermatology, Faculty of Medicine, University of Debrecen, Nagyerdei krt. 98, 4032 Debrecen, Hungary; (Z.S.-K.); (K.G.); (A.S.); (D.K.)
| | - Krisztián Gáspár
- Department of Dermatology, Faculty of Medicine, University of Debrecen, Nagyerdei krt. 98, 4032 Debrecen, Hungary; (Z.S.-K.); (K.G.); (A.S.); (D.K.)
- Division of Dermatological Allergology, Department of Dermatology, Faculty of Medicine, University of Debrecen, Nagyerdei krt. 98, 4032 Debrecen, Hungary
| | - Andrea Szegedi
- Department of Dermatology, Faculty of Medicine, University of Debrecen, Nagyerdei krt. 98, 4032 Debrecen, Hungary; (Z.S.-K.); (K.G.); (A.S.); (D.K.)
- Division of Dermatological Allergology, Department of Dermatology, Faculty of Medicine, University of Debrecen, Nagyerdei krt. 98, 4032 Debrecen, Hungary
| | - Lajos Kemény
- HCEMM-USZ Skin Research Group, Department of Dermatology and Allergology, University of Szeged, Korányi fasor 6, 6720 Szeged, Hungary;
- MTA-SZTE Dermatological Research Group, Eötvös Loránd Research Network (ELKH), Korányi fasor 6, 6720 Szeged, Hungary
| | - Dóra Kovács
- Department of Dermatology, Faculty of Medicine, University of Debrecen, Nagyerdei krt. 98, 4032 Debrecen, Hungary; (Z.S.-K.); (K.G.); (A.S.); (D.K.)
| | - Dániel Törőcsik
- Department of Dermatology, Faculty of Medicine, University of Debrecen, Nagyerdei krt. 98, 4032 Debrecen, Hungary; (Z.S.-K.); (K.G.); (A.S.); (D.K.)
- Correspondence: ; Tel.: +36-52-255-602
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