TY - JOUR AU - Szederkényi, G. AU - Kocsis, D. AU - Vághy, M.A. AU - Czárán, Domonkos Tamás AU - Sasvári, Péter AU - Lengyel, Miléna AU - Naszlady, M.B. AU - Kreis, F. AU - Antal, István AU - Csépányi-Kömi, Roland AU - Erdő, F. TI - Mathematical modeling of transdermal delivery of topical drug formulations in a dynamic microfluidic diffusion chamber in health and disease JF - PLOS ONE J2 - PLOS ONE VL - 19 PY - 2024 IS - 4 PG - 17 SN - 1932-6203 DO - 10.1371/journal.pone.0299501 UR - https://m2.mtmt.hu/api/publication/34813473 ID - 34813473 AB - Mathematical models of epidermal and dermal transport are essential for optimization and development of products for percutaneous delivery both for local and systemic indication and for evaluation of dermal exposure to chemicals for assessing their toxicity. These models often help directly by providing information on the rate of drug penetration through the skin and thus on the dermal or systemic concentration of drugs which is the base of their pharmacological effect. The simulations are also helpful in analyzing experimental data, reducing the number of experiments and translating the in vitro investigations to an in-vivo setting. In this study skin penetration of topically administered caffeine cream was investigated in a skin-on-a-chip microfluidic diffusion chamber at room temperature and at 32̊C. Also the transdermal penetration of caffeine in healthy and diseased conditions was compared in mouse skins from intact, psoriatic and allergic animals. In the last experimental setup dexamethasone, indomethacin, piroxicam and diclofenac were examined as a cream formulation for absorption across the dermal barrier. All the measured data were used for making mathematical simulation in a three-compartmental model. The calculated and measured results showed a good match, which findings indicate that our mathematical model might be applied for prediction of drug delivery through the skin under different circumstances and for various drugs in the novel, miniaturized diffusion chamber. © 2024 Szederkényi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, LA - English DB - MTMT ER - TY - JOUR AU - Christ, Carolin AU - Ocskay, Zsombor AU - Kovács, Gábor AU - Jakus, Zoltán TI - Characterization of Atherosclerotic Mice Reveals a Sex-Dependent Susceptibility to Plaque Calcification but No Major Changes in the Lymphatics in the Arterial Wall JF - INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES J2 - INT J MOL SCI VL - 25 PY - 2024 IS - 7 PG - 19 SN - 1661-6596 DO - 10.3390/ijms25074046 UR - https://m2.mtmt.hu/api/publication/34792167 ID - 34792167 AB - Lymphatics participate in reverse cholesterol transport, and their presence in the arterial wall of the great vessels and prior experimental results suggest their possible role in the development of atherosclerosis. The aim of this study was to characterize the lymphatic vasculature of the arterial wall in atherosclerosis. Tissue sections and tissue-cleared aortas of wild-type mice unveiled significant differences in the density of the arterial lymphatic network throughout the arterial tree. Male and female Ldlr−/− and ApoE−/− mice on a Western diet showed sex-dependent differences in plaque formation and calcification. Female mice on a Western diet developed more calcification of atherosclerotic plaques than males. The lymphatic vessels within the aortic wall of these mice showed no major changes regarding the number of lymphatic junctions and end points or the lymphatic area. However, female mice on a Western diet showed moderate dilation of lymphatic vessels in the abdominal aorta and exhibited indications of increased peripheral lymphatic function, findings that require further studies to understand the role of lymphatics in the arterial wall during the development of atherosclerosis. LA - English DB - MTMT ER - TY - JOUR AU - Futosi, Krisztina AU - Mócsai, Attila TI - Neutrophil IL-26 fuels autoinflammation JF - JOURNAL OF EXPERIMENTAL MEDICINE J2 - J EXP MED VL - 221 PY - 2024 IS - 5 PG - 3 SN - 0022-1007 DO - 10.1084/jem.20240229 UR - https://m2.mtmt.hu/api/publication/34786398 ID - 34786398 AB - Pustular psoriasis is an inflammatory skin disease with features of neutrophil-mediated sterile autoinflammation. In this issue of JEM, Baldo et al. show that this autoinflammation is driven by a vicious cycle through neutrophil-derived IL-26. Pustular psoriasis is an inflammatory skin disease with features of neutrophil-mediated sterile autoinflammation. In this issue of JEM, Baldo et al. (https://doi.org/10.1084/jem.20231464) show that this autoinflammation is driven by a vicious cycle through neutrophil-derived IL-26. LA - English DB - MTMT ER - TY - JOUR AU - Cserző, Miklós AU - Eisenhaber, B. AU - Eisenhaber, F. AU - Magyar, C. AU - Simon, I. TI - Correction to: The First Quarter Century of the Dense Alignment Surface Transmembrane Prediction Method (International Journal of Molecular Sciences, (2023), 24, 18, (14016), 10.3390/ijms241814016) JF - INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES J2 - INT J MOL SCI VL - 25 PY - 2024 IS - 6 PG - 1 SN - 1661-6596 DO - 10.3390/ijms25063422 UR - https://m2.mtmt.hu/api/publication/34779359 ID - 34779359 LA - English DB - MTMT ER - TY - JOUR AU - Balogh, Lili AU - Olah, Katalin AU - Santa, Soma AU - Majerhoffer, Nora AU - Németh, Tamás TI - Novel and potential future therapeutic options in systemic autoimmune diseases JF - FRONTIERS IN IMMUNOLOGY J2 - FRONT IMMUNOL VL - 15 PY - 2024 PG - 16 SN - 1664-3224 DO - 10.3389/fimmu.2024.1249500 UR - https://m2.mtmt.hu/api/publication/34775042 ID - 34775042 N1 - Department of Physiology, Semmelweis University School of Medicine, Budapest, Hungary MTA-SE “Lendület” Translational Rheumatology Research Group, Hungarian Academy of Sciences and Semmelweis University, Budapest, Hungary Department of Rheumatology and Clinical Immunology, Semmelweis University, Budapest, Hungary Department of Internal Medicine and Oncology, Semmelweis University, Budapest, Hungary Export Date: 11 April 2024 Correspondence Address: Németh, T.; Department of Physiology, Hungary; email: nemeth.tamas@med.semmelweis-univ.hu AB - Autoimmune inflammation is caused by the loss of tolerance to specific self-antigens and can result in organ-specific or systemic disorders. Systemic autoimmune diseases affect a significant portion of the population with an increasing rate of incidence, which means that is essential to have effective therapies to control these chronic disorders. Unfortunately, several patients with systemic autoimmune diseases do not respond at all or just partially respond to available conventional synthetic disease-modifying antirheumatic drugs and targeted therapies. However, during the past few years, some new medications have been approved and can be used in real-life clinical settings. Meanwhile, several new candidates appeared and can offer promising novel treatment options in the future. Here, we summarize the newly available medications and the most encouraging drug candidates in the treatment of systemic lupus erythematosus, rheumatoid arthritis, Sjogren's disease, systemic sclerosis, systemic vasculitis, and autoimmune myositis. LA - English DB - MTMT ER - TY - JOUR AU - Rácz, Frigyes Sámuel AU - Kumar, S. AU - Káposzta, Zalán AU - Alawieh, H. AU - Liu, D.H. AU - Liu, R. AU - Czoch, Ákos AU - Mukli, Péter AU - Millán, J.D.R. TI - Combining detrended cross-correlation analysis with Riemannian geometry-based classification for improved brain-computer interface performance JF - FRONTIERS IN NEUROSCIENCE J2 - FRONT NEUROSCI-SWITZ VL - 18 PY - 2024 PG - 17 SN - 1662-4548 DO - 10.3389/fnins.2024.1271831 UR - https://m2.mtmt.hu/api/publication/34771485 ID - 34771485 AB - Riemannian geometry-based classification (RGBC) gained popularity in the field of brain-computer interfaces (BCIs) lately, due to its ability to deal with non-stationarities arising in electroencephalography (EEG) data. Domain adaptation, however, is most often performed on sample covariance matrices (SCMs) obtained from EEG data, and thus might not fully account for components affecting covariance estimation itself, such as regional trends. Detrended cross-correlation analysis (DCCA) can be utilized to estimate the covariance structure of such signals, yet it is computationally expensive in its original form. A recently proposed online implementation of DCCA, however, allows for its fast computation and thus makes it possible to employ DCCA in real-time applications. In this study we propose to replace the SCM with the DCCA matrix as input to RGBC and assess its effect on offline and online BCI performance. First we evaluated the proposed decoding pipeline offline on previously recorded EEG data from 18 individuals performing left and right hand motor imagery (MI), and benchmarked it against vanilla RGBC and popular MI-detection approaches. Subsequently, we recruited eight participants (with previous BCI experience) who operated an MI-based BCI (MI-BCI) online using the DCCA-enhanced Riemannian decoder. Finally, we tested the proposed method on a public, multi-class MI-BCI dataset. During offline evaluations the DCCA-based decoder consistently and significantly outperformed the other approaches. Online evaluation confirmed that the DCCA matrix could be computed in real-time even for 22-channel EEG, as well as subjects could control the MI-BCI with high command delivery (normalized Cohen's κ: 0.7409 ± 0.1515) and sample-wise MI detection (normalized Cohen's κ: 0.5200 ± 0.1610). Post-hoc analysis indicated characteristic connectivity patterns under both MI conditions, with stronger connectivity in the hemisphere contralateral to the MI task. Additionally, fractal scaling exponent of neural activity was found increased in the contralateral compared to the ipsilateral motor cortices (C4 and C3 for left and right MI, respectively) in both classes. Combining DCCA with Riemannian geometry-based decoding yields a robust and effective decoder, that not only improves upon the SCM-based approach but can also provide relevant information on the neurophysiological processes behind MI. Copyright © 2024 Racz, Kumar, Kaposzta, Alawieh, Liu, Liu, Czoch, Mukli and Millán. LA - English DB - MTMT ER - TY - GEN AU - Indira, Pla AU - Botond, L. Szabolcs AU - Petra, Nikolett Péter AU - Zsuzsanna, Ujfaludi AU - Yonghyo, Kim AU - Peter, Horvatovich AU - Aniel Sanchez, Krzysztof Pawlowski AU - Elisabet, Wieslander AU - Jéssica, Guedes AU - Pál, Dorottya AU - Anna A. Ascsillán, Lazaro Hiram Betancourt AU - István, Balázs Németh AU - Jeovanis, Gil AU - Natália, Pinto de Almeida, Beáta Szeitz, Leticia Szadai AU - Viktória, Doma AU - Nicole, Woldmar AU - Áron, Bartha AU - Zoltan, Pahi AU - Tibor, Pankotai AU - Balázs, Győrffy AU - A., Marcell Szasz AU - Gilberto, Domont AU - Fábio, Nogueira AU - Ho, Jeong Kwon AU - Roger, Appelqvist AU - Sarolta, Kárpáti AU - David, Fenyö AU - Johan, Malm AU - György, Marko-Varga AU - Kemény, Lajos Vince TI - Identifying Ferroptosis Inducers, HDAC,and RTK Inhibitor Sensitivity in Melanoma Subtypes through Unbiased Drug Target Prediction PY - 2024 UR - https://m2.mtmt.hu/api/publication/34758494 ID - 34758494 LA - English DB - MTMT ER - TY - JOUR AU - Aradi, Petra AU - Kovács, Gábor AU - Kemecsei, Éva AU - Molnár, Kornél AU - Sági, Stella Márta AU - Horváth, Zalán AU - Mehrara, Babak J. AU - Kataru, Raghu P. AU - Jakus, Zoltán TI - Lymphatics-dependent modulation of the sensitization and elicitation phases of contact hypersensitivity JF - JOURNAL OF INVESTIGATIVE DERMATOLOGY J2 - J INVEST DERMATOL PY - 2024 SN - 0022-202X DO - 10.1016/j.jid.2024.03.021 UR - https://m2.mtmt.hu/api/publication/34757704 ID - 34757704 LA - English DB - MTMT ER - TY - JOUR AU - Owens, Cameron D AU - Bonin Pinto, Camila AU - Detwiler, Sam AU - Olay, Lauren AU - Pinaffi-Langley, Ana Clara da C AU - Mukli, Péter AU - Péterfi, Anna AU - Szarvas, Zsófia AU - James, Judith A AU - Galvan, Veronica AU - Tarantini, Stefano AU - Csiszar, Anna AU - Ungvári, Zoltán István AU - Kirkpatrick, Angelia C AU - Prodan, Calin I AU - Yabluchanskiy, Andriy TI - Neurovascular coupling impairment as a mechanism for cognitive deficits in COVID-19 JF - BRAIN COMMUNICATIONS J2 - BRAIN COMMUN VL - 6 PY - 2024 IS - 2 PG - 23 SN - 2632-1297 DO - 10.1093/braincomms/fcae080 UR - https://m2.mtmt.hu/api/publication/34756276 ID - 34756276 N1 - Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73117, United States Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, United States International Training Program in Geroscience, Doctoral School of Basic and Translational Medicine/Departments of Public Health, Translational Medicine and Physiology, Semmelweis University, Budapest, 1089, Hungary Arthritis & Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, United States Department of Internal Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, United States Department of Pathology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, United States Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, United States Veterans Affairs Medical Center, Oklahoma City, OK 73104, United States The Peggy and Charles Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, United States Department of Health Promotion Sciences, College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, United States Cardiovascular Section, Department of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73117, United States Department of Neurology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, United States Export Date: 5 April 2024 Correspondence Address: Yabluchanskiy, A.; Department of Neurosurgery, 975 NE 10th Street, United States; email: andriy-yabluchanskiy@ouhsc.edu AB - Components that comprise our brain parenchymal and cerebrovascular structures provide a homeostatic environment for proper neuronal function to ensure normal cognition. Cerebral insults (e.g. ischaemia, microbleeds and infection) alter cellular structures and physiologic processes within the neurovascular unit and contribute to cognitive dysfunction. COVID-19 has posed significant complications during acute and convalescent stages in multiple organ systems, including the brain. Cognitive impairment is a prevalent complication in COVID-19 patients, irrespective of severity of acute SARS-CoV-2 infection. Moreover, overwhelming evidence from in vitro, preclinical and clinical studies has reported SARS-CoV-2-induced pathologies in components of the neurovascular unit that are associated with cognitive impairment. Neurovascular unit disruption alters the neurovascular coupling response, a critical mechanism that regulates cerebromicrovascular blood flow to meet the energetic demands of locally active neurons. Normal cognitive processing is achieved through the neurovascular coupling response and involves the coordinated action of brain parenchymal cells (i.e. neurons and glia) and cerebrovascular cell types (i.e. endothelia, smooth muscle cells and pericytes). However, current work on COVID-19-induced cognitive impairment has yet to investigate disruption of neurovascular coupling as a causal factor. Hence, in this review, we aim to describe SARS-CoV-2's effects on the neurovascular unit and how they can impact neurovascular coupling and contribute to cognitive decline in acute and convalescent stages of the disease. Additionally, we explore potential therapeutic interventions to mitigate COVID-19-induced cognitive impairment. Given the great impact of cognitive impairment associated with COVID-19 on both individuals and public health, the necessity for a coordinated effort from fundamental scientific research to clinical application becomes imperative. This integrated endeavour is crucial for mitigating the cognitive deficits induced by COVID-19 and its subsequent burden in this especially vulnerable population. LA - English DB - MTMT ER - TY - JOUR AU - Sándor, Luca Fatime AU - Huh, Joon B. AU - Benkő, Péter AU - Hiraga, Toru AU - Poliska, Szilard AU - Dobó-Nagy, Csaba AU - Simpson, Joanna P. AU - Homer, Natalie Z.M. AU - Mahata, Bidesh AU - Győri, Dávid Sándor TI - De novo steroidogenesis in tumor cells drives bone metastasis and osteoclastogenesis JF - CELL REPORTS J2 - CELL REP VL - 43 PY - 2024 IS - 3 PG - 21 SN - 2211-1247 DO - 10.1016/j.celrep.2024.113936 UR - https://m2.mtmt.hu/api/publication/34746956 ID - 34746956 N1 - Department of Physiology, Semmelweis University School of Medicine, Budapest, 1094, Hungary Department of Histology and Cell Biology, Matsumoto Dental University, Nagano, Shiojiri, 399-0781, Japan Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Debrecen, 4032, Hungary Department of Oral Diagnostics, Semmelweis University School of Dentistry, Budapest, 1088, Hungary Mass Spectrometry Core, Edinburgh Clinical Research Facility, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, EH16 4TJ, United Kingdom University of Edinburgh/BHF Centre for Cardiovascular Sciences, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, EH16 4TJ, United Kingdom Department of Pathology, University of Cambridge, Cambridgeshire, Cambridge, CB21QP, United Kingdom Export Date: 5 April 2024 Correspondence Address: Gyori, D.S.; Department of Physiology, Hungary; email: gyori.david@semmelweis.hu LA - English DB - MTMT ER -