TY - JOUR AU - Dajnoki, Zsolt AU - Jenei, Adrienn AU - Kalló, Gergő AU - Gáspár, Krisztián AU - Csősz, Éva AU - Szegedi, Andrea AU - Kapitány, Anikó TI - Detection of Antimicrobial Peptides in the Stratum Corneum by Mass Spectrometry JF - JOURNAL OF INVESTIGATIVE DERMATOLOGY J2 - J INVEST DERMATOL VL - 142 PY - 2022 IS - S12 SP - 219 SN - 0022-202X UR - https://m2.mtmt.hu/api/publication/33666043 ID - 33666043 LA - English DB - MTMT ER - TY - JOUR AU - Soltész, Beáta AU - Pös, Ondrej AU - Wlachovska, Zuzana AU - Budis, Jaroslav AU - Hekel, Rastislav AU - Strieskova, Lucia AU - Liptak, Jana Bozenka AU - Krampl, Werner AU - Styk, Jakub AU - Németh , Nikolett AU - Keserű, Judit Szilvia AU - Jenei, Adrienn AU - Buglyó, Gergely AU - Klekner, Álmos AU - Nagy, Bálint AU - Szemes, Tomas TI - Mitochondrial DNA copy number changes, heteroplasmy, and mutations in plasma-derived exosomes and brain tissue of glioblastoma patients JF - MOLECULAR AND CELLULAR PROBES J2 - MOL CELL PROBE VL - 66 PY - 2022 PG - 6 SN - 0890-8508 DO - 10.1016/j.mcp.2022.101875 UR - https://m2.mtmt.hu/api/publication/33291817 ID - 33291817 LA - English DB - MTMT ER - TY - JOUR AU - Dajnoki, Zsolt AU - Somogyi, Orsolya AU - Retzlerné Medgyesi, Barbara AU - Jenei, Adrienn AU - Szabó, Lilla AU - Gáspár, Krisztián AU - Hendrik, Zoltán AU - Gergely, Péter AU - Imre, D. AU - Póliska, Szilárd AU - Törőcsik, Dániel AU - Zouboulis, Christos C. AU - Prens, Errol P. AU - Kapitány, Anikó AU - Szegedi, Andrea TI - Primary alterations during the development of hidradenitis suppurativa JF - JOURNAL OF THE EUROPEAN ACADEMY OF DERMATOLOGY AND VENEREOLOGY J2 - J EUR ACAD DERMATOL VL - 36 PY - 2022 IS - 3 SP - 462 EP - 471 PG - 10 SN - 0926-9959 DO - 10.1111/jdv.17779 UR - https://m2.mtmt.hu/api/publication/32527073 ID - 32527073 LA - English DB - MTMT ER - TY - JOUR AU - Kapitány, Anikó AU - Retzlerné Medgyesi, Barbara AU - Jenei, Adrienn AU - Somogyi, Orsolya AU - Szabó, Lilla AU - Gáspár, Krisztián AU - Méhes, Gábor AU - Hendrik, Zoltán AU - Dócs, Klaudia AU - Szűcs, Péter AU - Dajnoki, Zsolt AU - Szegedi, Andrea TI - Regional Differences in the Permeability Barrier of the Skin: implications in Acantholytic Skin Diseases JF - INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES J2 - INT J MOL SCI VL - 22 PY - 2021 IS - 19 PG - 15 SN - 1661-6596 DO - 10.3390/ijms221910428 UR - https://m2.mtmt.hu/api/publication/32284135 ID - 32284135 AB - The chemical milieu, microbiota composition, and immune activity show prominent differences in distinct healthy skin areas. The objective of the current study was to compare the major permeability barrier components (stratum corneum and tight junction (TJ)), investigate the distribution of (corneo)desmosomes and TJs, and measure barrier function in healthy sebaceous gland-rich (SGR), apocrine gland-rich (AGR), and gland-poor (GP) skin regions. Molecules involved in cornified envelope (CE) formation, desquamation, and (corneo)desmosome and TJ organization were investigated at the mRNA and protein levels using qRT-PCR and immunohistochemistry. The distribution of junction structures was visualized using confocal microscopy. Transepidermal water loss (TEWL) functional measurements were also performed. CE intracellular structural components were similarly expressed in gland-rich (SGR and AGR) and GP areas. In contrast, significantly lower extracellular protein levels of (corneo)desmosomes (DSG1 and CDSN) and TJs (OCLN and CLDN1) were detected in SGR/AGR areas compared to GP areas. In parallel, kallikrein proteases were significantly higher in gland-rich regions. Moreover, gland-rich areas were characterized by prominently disorganized junction structures ((corneo)desmosomes and TJs) and significantly higher TEWL levels compared to GP skin, which exhibited a regular distribution of junction structures. According to our findings, the permeability barrier of our skin is not uniform. Gland-rich areas are characterized by weaker permeability barrier features compared with GP regions. These findings have important clinical relevance and may explain the preferred localization of acantholytic skin diseases on gland-rich skin regions (e.g., Pemphigus foliaceus, Darier's disease, and Hailey-Hailey disease). LA - English DB - MTMT ER - TY - JOUR AU - Géczi, Dóra Anikó AU - Nagy, Bálint AU - Szilágyi-Bónizs, Melinda AU - Penyige, András AU - Klekner, Álmos AU - Jenei, Adrienn AU - Virga, József AU - Birkó, Zsuzsanna TI - Analysis of Circulating miRNA Profile in Plasma Samples of Glioblastoma Patients JF - INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES J2 - INT J MOL SCI VL - 22 PY - 2021 IS - 10 SN - 1661-6596 DO - 10.3390/ijms22105058 UR - https://m2.mtmt.hu/api/publication/32010182 ID - 32010182 LA - English DB - MTMT ER - TY - JOUR AU - Jenei, Adrienn AU - Kalló, Gergő AU - Dajnoki, Zsolt AU - Gáspár, Krisztián AU - Szegedi, Andrea AU - Kapitány, Anikó AU - Csősz, Éva TI - Detection of Antimicrobial Peptides in Stratum Corneum by Mass Spectrometry JF - INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES J2 - INT J MOL SCI VL - 22 PY - 2021 IS - 8 SN - 1661-6596 DO - 10.3390/ijms22084233 UR - https://m2.mtmt.hu/api/publication/31977809 ID - 31977809 AB - Antimicrobial and immunomodulatory peptides (AMPs) are considered as the key players in the maintenance of skin barrier functions. Here, we developed a novel approach for the examination of AMPs in the outermost layer of the epidermis, namely stratum corneum (SC). The SC sample collection by tape stripping was coupled with detection by highly specific and sensitive parallel reaction monitoring (PRM)-based mass spectrometry. We found that hexane-free processing of SC samples produced higher protein yield compared to hexane-based extraction. Of the 18 investigated peptides, 9 could be detected either in healthy or in inflamed skin specimens. Regarding the amount of S100A8, LCN2, LACRT and LYZ significant topographical differences were described among gland poor (GP), sebaceous gland rich (SGR) and apocrine gland rich (AGR) healthy skin regions. We applied a minimally invasive, reproducible approach for sampling, which can be assessed for research and diagnostic purposes. and for monitoring the effectiveness of therapies in skin diseases. LA - English DB - MTMT ER - TY - JOUR AU - Bukva, Mátyás AU - Dobra, Gabriella AU - Gomez Perez, Juan Fernando AU - Koós, Krisztián AU - Harmati, Mária AU - Gyukity-Sebestyén, Edina AU - Bíró, Tamás AU - Jenei, Adrienn AU - Körmöndi, Sándor Pál AU - Horváth, Péter AU - Kónya, Zoltán AU - Klekner, Álmos AU - Buzás, Krisztina TI - Raman Spectral Signatures of Serum-Derived Extracellular Vesicle-Enriched Isolates May Support the Diagnosis of CNS Tumors JF - CANCERS J2 - CANCERS VL - 13 PY - 2021 IS - 6 PG - 19 SN - 2072-6694 DO - 10.3390/cancers13061407 UR - https://m2.mtmt.hu/api/publication/31925722 ID - 31925722 N1 - Laboratory of Microscopic Image Analysis and Machine Learning, Biological Research Centre, Institute of Biochemistry, Eötvös Loránd Research Network (ELKH), Szeged, H-6726, Hungary Department of Medical Genetics, Doctoral School of Interdisciplinary Medicine, University of Szeged, Szeged, H-6720, Hungary Department of Applied and Environmental Chemistry, University of Szeged, Szeged, H-6720, Hungary Department of Immunology, Faculty of Medicine, University of Debrecen, Debrecen, H-4032, Hungary Monasterium Laboratory, Münster, D-48149, Germany Clinical Centre, Department of Neurosurgery, University of Debrecen, Debrecen, H-4032, Hungary Department of Traumatology, University of Szeged, Szeged, H-6720, Hungary Department of Immunology, University of Szeged, Szeged, H-6720, Hungary Export Date: 22 April 2021 Correspondence Address: Buzas, K.; Laboratory of Microscopic Image Analysis and Machine Learning, Hungary; email: buzas.krisztina@brc.hu Correspondence Address: Buzas, K.; Department of Immunology, Hungary; email: buzas.krisztina@brc.hu Laboratory of Microscopic Image Analysis and Machine Learning, Biological Research Centre, Institute of Biochemistry, Eötvös Loránd Research Network (ELKH), Szeged, H-6726, Hungary Department of Medical Genetics, Doctoral School of Interdisciplinary Medicine, University of Szeged, Szeged, H-6720, Hungary Department of Applied and Environmental Chemistry, University of Szeged, Szeged, H-6720, Hungary Department of Immunology, Faculty of Medicine, University of Debrecen, Debrecen, H-4032, Hungary Monasterium Laboratory, Münster, D-48149, Germany Clinical Centre, Department of Neurosurgery, University of Debrecen, Debrecen, H-4032, Hungary Department of Traumatology, University of Szeged, Szeged, H-6720, Hungary Department of Immunology, University of Szeged, Szeged, H-6720, Hungary Export Date: 26 April 2021 Correspondence Address: Buzas, K.; Laboratory of Microscopic Image Analysis and Machine Learning, Hungary; email: buzas.krisztina@brc.hu Correspondence Address: Buzas, K.; Department of Immunology, Hungary; email: buzas.krisztina@brc.hu LA - English DB - MTMT ER - TY - JOUR AU - Szivos, László AU - Virga, József AU - Hortobágyi, Tibor AU - Zahuczky, Gábor AU - Uray, Iván AU - Jenei, Adrienn AU - Bognár, László AU - Árkosy, Péter AU - Klekner, Álmos TI - Az inváziós spektrum prognosztikai jelentősége glioblastomában JF - IDEGGYOGYASZATI SZEMLE / CLINICAL NEUROSCIENCE J2 - IDEGGYOGY SZEMLE VL - 73 PY - 2020 IS - 9-10 SP - 317 EP - 325 PG - 9 SN - 0019-1442 DO - 10.18071/ISZ.73.0317 UR - https://m2.mtmt.hu/api/publication/31625559 ID - 31625559 N1 - 296635 AB - A glioblastoma a leggyakoribb központi idegrendszeri rosszindulatú daganat; sebészi kezelése a da­ganatok invazív jellegénél fogva nem lehetséges, onko­te­rá­piája pedig csupán szerény eredményeket hoz – a bete­gek átlagos teljes túlélése (OS) 16–24 hónap. A betegek egy része alig reagál az alkalmazott kezelésre; a klinikumban jelenleg nincs olyan prognosztikai vagy prediktív marker, ami segítené a betegek túlélésében tapasztalható jelentős szórás érdemi feltérképezését és a kezelési algoritmus optimalizálását. Jelen kutatásban az invázióban sze­re­pet játszó extracelluláris mátrix (ECM-) molekulák expresszió­jának prognosztikai jelentőségét kívántuk meghatározni. Eltérő prognózisú betegcsoportokat létrehozva (A csoport OS < 16 hónap, B csoport OS > 16 hó­nap) vizsgáltuk meg glioblastomás betegek gyors­fa­gyasz­tott tu­mor­mintáiban a szakirodalom által jelenleg elismert mar­kerek (IDH1 mutációs és MGMT metilációs státusz) je­len­lé­tét, továbbá 46 inváziós ECM-molekula mRNS-szintjét. A DE KK Idegsebészeti Klinikán operált és az Onkológiai Klinikán utókezelt betegek klinikai adatai nem mutattak jelentős különbségeket a túlélési adatokat (progressziómentes és teljes túlélés) és a reoperációs arányt leszámítva. Minden minta IDH vad típusú volt. Je­len­tős különbség volt a jobb és a rosszabb túlélésű be­­te­gek kö­zött az MGMT promoter hipermetiláció arányá­ban (28,6% vs. 68,8%). Az inváziós ECM-molekulák expressziós mintá­zata, az inváziós spektrum szintén jelentős különbséget mutatott; szignifikáns különbség mutatkozott az integrin β2, kadhe­rin-12, FLT4/VEGFR-3, verzikán molekulák expressziójá­ban. Az inváziós spektrum megbízhatóságát statisztikai osz­tályozóval tesztelve a módszer a minták 83,3%-át sorolta a megfelelő prognosztikai csoportba (PPÉ: 0,93). A különböző túlélésű betegcsoportok összehasonlítása során a reoperációs arányban megfigyel­hető különbség az irodalmi adatokkal összevágó tény. Az MGMT promoter metiláltságának vizsgálata hazai ­ újdonság, az eredmény az eddigi ismereteket megerősítve sürgeti a vizsgálat rutinszerű bevezetését. Az inváziós spektrum vizsgálata többletinformációt ad a tumorról, prognosztikai markerként segíthet felismerni az ag­resszívabb tumorokat, továbbá felhívja a figyelmet az antiinvazív ágensek jövőbeni használatának szükségességére a GBM terápiájában. LA - Hungarian DB - MTMT ER - TY - JOUR AU - Dobra, Gabriella AU - Bukva, Mátyás AU - Szabó, Zoltán AU - Bruszel, Bella AU - Harmati, Mária AU - Gyukity-Sebestyén, Edina AU - Jenei, Adrienn AU - Szűcs, Mónika AU - Horváth, Péter AU - Bíró, Tamás AU - Klekner, Álmos AU - Buzás, Krisztina TI - Small Extracellular Vesicles Isolated from Serum May Serve as Signal-Enhancers for the Monitoring of CNS Tumors JF - INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES J2 - INT J MOL SCI VL - 21 PY - 2020 IS - 15 PG - 20 SN - 1661-6596 DO - 10.3390/ijms21155359 UR - https://m2.mtmt.hu/api/publication/31390897 ID - 31390897 N1 - Funding Agency and Grant Number: National Brain Research Program NAP 2.0 [2017-1.2.1-NKP-2017-00002]; Janos Bolyai Research Scholarship of the Hungarian Academic of Sciences; [GINOP-2.3.2-15-2016-00015]; [GINOP-2.2.1-15-2017-00052]; [UNKP-19-4-SZTE-63] Funding text: This study was founded by the following research grants: GINOP-2.3.2-15-2016-00015 (K.B.); GINOP-2.2.1-15-2017-00052 (K.B.), 2017-1.2.1-NKP-2017-00002 "National Brain Research Program NAP 2.0" (A.K.), UNKP-19-4-SZTE-63 (K.B.), Janos Bolyai Research Scholarship of the Hungarian Academic of Sciences (K.B.). Laboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre, Szeged, H-6726, Hungary Department of Medical Genetics, Doctoral School of Interdisciplinary Medicine, University of Szeged, Szeged, H-6720, Hungary Department of Medical Chemistry, Faculty of Medicine, University of Szeged, Szeged, H-6720, Hungary Department of Neurosurgery, Clinical Centre, University of Debrecen, Debrecen, H-4032, Hungary Department of Medical Physics and Informatics, Faculty of Medicine, University of Szeged, Szeged, H-6720, Hungary Department of Medical Physics and Informatics, Faculty of Science and Informatics, University of Szeged, Szeged, H-6720, Hungary Department of Immunology, Faculty of Medicine, University of Debrecen, Debrecen, H-4032, Hungary Department of Immunology, Faculty of Medicine, University of Szeged, Szeged, H-6720, Hungary Department of Immunology, Faculty of Science and Informatics, University of Szeged, Szeged, H-6720, Hungary Export Date: 28 August 2020 Correspondence Address: Buzas, K.; Laboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre, Department of Immunology, Faculty of Medicine, University of Szeged, Department of Immunology, Faculty of Science and Informatics, University of SzegedHungary; email: kr.buzas@gmail.com Funding text 1: Funding: This study was founded by the following research grants: GINOP-2.3.2-15-2016-00015 (K.B.); GINOP-2.2.1-15-2017-00052 (K.B.), 2017-1.2.1-NKP-2017-00002 “National Brain Research Program NAP 2.0” (A.K.), UNKP-19-4-SZTE-63 (K.B.), Janos Bolyai Research Scholarship of the Hungarian Academic of Sciences (K.B.). Laboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre, Szeged, H-6726, Hungary Department of Medical Genetics, Doctoral School of Interdisciplinary Medicine, University of Szeged, Szeged, H-6720, Hungary Department of Medical Chemistry, Faculty of Medicine, University of Szeged, Szeged, H-6720, Hungary Department of Neurosurgery, Clinical Centre, University of Debrecen, Debrecen, H-4032, Hungary Department of Medical Physics and Informatics, Faculty of Medicine, University of Szeged, Szeged, H-6720, Hungary Department of Medical Physics and Informatics, Faculty of Science and Informatics, University of Szeged, Szeged, H-6720, Hungary Department of Immunology, Faculty of Medicine, University of Debrecen, Debrecen, H-4032, Hungary Department of Immunology, Faculty of Medicine, University of Szeged, Szeged, H-6720, Hungary Department of Immunology, Faculty of Science and Informatics, University of Szeged, Szeged, H-6720, Hungary Export Date: 10 January 2021 Correspondence Address: Buzas, K.; Laboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre, Department of Immunology, Faculty of Medicine, University of Szeged, Department of Immunology, Faculty of Science and Informatics, University of SzegedHungary; email: kr.buzas@gmail.com Funding text 1: Funding: This study was founded by the following research grants: GINOP-2.3.2-15-2016-00015 (K.B.); GINOP-2.2.1-15-2017-00052 (K.B.), 2017-1.2.1-NKP-2017-00002 “National Brain Research Program NAP 2.0” (A.K.), UNKP-19-4-SZTE-63 (K.B.), Janos Bolyai Research Scholarship of the Hungarian Academic of Sciences (K.B.). Laboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre, Szeged, H-6726, Hungary Department of Medical Genetics, Doctoral School of Interdisciplinary Medicine, University of Szeged, Szeged, H-6720, Hungary Department of Medical Chemistry, Faculty of Medicine, University of Szeged, Szeged, H-6720, Hungary Department of Neurosurgery, Clinical Centre, University of Debrecen, Debrecen, H-4032, Hungary Department of Medical Physics and Informatics, Faculty of Medicine, University of Szeged, Szeged, H-6720, Hungary Department of Medical Physics and Informatics, Faculty of Science and Informatics, University of Szeged, Szeged, H-6720, Hungary Department of Immunology, Faculty of Medicine, University of Debrecen, Debrecen, H-4032, Hungary Department of Immunology, Faculty of Medicine, University of Szeged, Szeged, H-6720, Hungary Department of Immunology, Faculty of Science and Informatics, University of Szeged, Szeged, H-6720, Hungary Export Date: 10 March 2021 Correspondence Address: Buzas, K.; Laboratory of Microscopic Image Analysis and Machine Learning, Hungary; email: kr.buzas@gmail.com Correspondence Address: Buzas, K.; Department of Immunology, Hungary; email: kr.buzas@gmail.com Correspondence Address: Buzas, K.; Department of Immunology, Hungary; email: kr.buzas@gmail.com Funding text 1: Funding: This study was founded by the following research grants: GINOP-2.3.2-15-2016-00015 (K.B.); GINOP-2.2.1-15-2017-00052 (K.B.), 2017-1.2.1-NKP-2017-00002 “National Brain Research Program NAP 2.0” (A.K.), UNKP-19-4-SZTE-63 (K.B.), Janos Bolyai Research Scholarship of the Hungarian Academic of Sciences (K.B.). LA - English DB - MTMT ER - TY - JOUR AU - Gáspár, Krisztián AU - Jenei, Adrienn AU - Khasawneh, A AU - Retzlerné Medgyesi, Barbara AU - Dajnoki, Zsolt AU - Janka, Eszter Anna AU - Szabó, Imre Lőrinc AU - Hendrik, Zoltán AU - Méhes, Gábor AU - Szegedi, Andrea AU - Kapitány, Anikó TI - Comparison of Immune and Barrier Characteristics in Scalp and Skin Psoriasis JF - ACTA DERMATO-VENEREOLOGICA J2 - ACTA DERM-VENEREOL VL - 100 PY - 2020 IS - 14 PG - 2 SN - 0001-5555 DO - 10.2340/00015555-3553 UR - https://m2.mtmt.hu/api/publication/31390888 ID - 31390888 N1 - * Megosztott szerzőség LA - English DB - MTMT ER -