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001-es BibID:BIBFORM118662
035-os BibID:(WoS)001161390600001 (Scopus)85185143533
Első szerző:Baráth Sándor (biológus)
Cím:Enhancing HLA-B27 antigen detection : Leveraging machine learning algorithms for flow cytometric analysis / Baráth Sándor, Singh Parvind, Hevessy Zsuzsanna, Ujfalusi Anikó, Mezei Zoltán, Balogh Mária, Száraz Széles Marianna, Kappelmayer János
Dátum:2024
ISSN:1552-4949
Megjegyzések:As the association of human leukocyte antigen B27 (HLA-B27) with spondylarthropathies is widely known, HLA-B27 antigen expression is frequently identified using flow cytometric or other techniques. Because of the possibility of cross-reaction with off target antigens, such as HLA-B7, each flow cytometric technique applies a "gray zone" reserved for equivocal findings. Our aim was to use machine learning (ML) methods to classify such equivocal data as positive or negative. Equivocal samples (n = 99) were selected from samples submitted to our institution for clinical evaluation by HLA-B27 antigen testing. Samples were analyzed by flow cytometry and polymerase chain reaction. Features of histograms generated by flow cytometry were used to train and validate ML methods for classification as logistic regression (LR), decision tree (DT), random forest (RF) and light gradient boost method (GBM). All evaluated ML algorithms performed well, with high accuracy, sensitivity, specificity, as well as negative and positive predictive values. Although, gradient boost approaches are proposed as high performance methods; nevertheless, their effectiveness may be lower for smaller sample sizes. On our relatively smaller sample set, the random forest algorithm performed best (AUC: 0.92), but there was no statistically significant difference between the ML algorithms used. AUC values for light GBM, DT, and LR were 0.88, 0.89, 0.89, respectively. Implementing these algorithms into the process of HLA-B27 testing can reduce the number of uncertain, false negative or false positive cases, especially in laboratories where no genetic testing is available.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Cytometry Part B-Clinical Cytometry. - [Epub ahead of print] (2024). -
További szerzők:Singh, Parvind (1995-) (PhD hallgató) Hevessy Zsuzsanna (1966-) (laboratóriumi szakorvos) Ujfalusi Anikó (1968-) (gyermekorvos, laboratóriumi szakorvos) Mezei Zoltán András (1980-) (orvos) Balogh Mária Széles Mariann Kappelmayer János (1960-) (laboratóriumi szakorvos)
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Intézményi repozitóriumban (DEA) tárolt változat
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2.

001-es BibID:BIBFORM121487
035-os BibID:(Scopus)85195849270 (WoS)001246741000001
Első szerző:Singh, Parvind (PhD hallgató)
Cím:A Comprehensive Investigation of Stimulatory Agents on MAIT and Vα7.2+/CD161-T Cell Response and Effects of Immunomodulatory Drugs / Singh Parvind, Száraz-Széles Marianna, Baráth Sándor, Hevessy Zsuzsanna
Dátum:2024
ISSN:1422-0067
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:International Journal Of Molecular Sciences. - 25 : 11 (2024), p. 1-16. -
További szerzők:Széles Mariann Baráth Sándor (1977-) (biológus) Hevessy Zsuzsanna (1966-) (laboratóriumi szakorvos)
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Intézményi repozitóriumban (DEA) tárolt változat
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3.

001-es BibID:BIBFORM119889
035-os BibID:(Scopus)85189087764 (WoS)001193529700001
Első szerző:Singh, Parvind (PhD hallgató)
Cím:Investigating Vα7.2+/CD161- T Cell and MAIT Cell Profiles Using Flow Cytometry in Healthy Subjects and Subjects with Atopic Dermatitis / Parvind Singh, Krisztian Gaspar, Andrea Szegedi, Laszlo Sajtos, Sandor Barath, Zsuzsanna Hevessy
Dátum:2024
ISSN:1422-0067
Megjegyzések:This study investigates the roles of mucosal-associated invariant T (MAIT) cells and V?7.2+/CD161? T cells in skin diseases, focusing on atopic dermatitis. MAIT cells, crucial for bridging innate and adaptive immunity, were analyzed alongside Vα7.2+/CD161- T cells in peripheral blood samples from 14 atopic dermatitis patients and 10 healthy controls. Flow cytometry and machine learning algorithms were employed for a comprehensive analysis. The results indicate a significant decrease in MAIT cells and CD69 subsets in atopic dermatitis, coupled with elevated CD38 and polyfunctional MAIT cells producing TNF and Granzyme B (TNF+/GzB+). Vα7.2+/CD161- T cells in atopic dermatitis exhibited a decrease in CD8 and IFN-producing subsets but an increase in CD38 activated and IL-22-producing subsets. These results highlight the distinctive features of MAIT cells and Vα7.2+/CD161- T cells and their different roles in the pathogenesis of atopic dermatitis and provide insights into their potential roles in immune-mediated skin diseases.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
MAIT cells
Vα7.2+/CD161- T cells
flow cytometry
dimensionality reduction
unsupervised clustering
atopic dermatitis
Megjelenés:International Journal Of Molecular Sciences. - 25 : 6 (2024), p. 1-15. -
További szerzők:Gáspár Krisztián (1974-) (bőrgyógyász) Szegedi Andrea (1964-) (bőrgyógyász) Sajtos László Baráth Sándor (1977-) (biológus) Hevessy Zsuzsanna (1966-) (laboratóriumi szakorvos)
Pályázati támogatás:NKFIH K-142348
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Intézményi repozitóriumban (DEA) tárolt változat
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4.

001-es BibID:BIBFORM101986
035-os BibID:(WoS)000797541200001 (Scopus)85130347509
Első szerző:Singh, Parvind (PhD hallgató)
Cím:Gender-dependent frequency of unconventional T cells in a healthy adult Caucasian population : a combinational study of invariant NKT cells, [gamma] [delta] T cells, and mucosa-associated invariant T cells / Singh Parvind, Szaraz-Szeles Marianna, Mezei Zoltan, Barath Sandor, Hevessy Zsuzsanna
Dátum:2022
ISSN:0741-5400
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Journal Of Leukocyte Biology. - 112 : 5 (2022), p. 1155-1165. -
További szerzők:Széles Mariann Mezei Zoltán András (1980-) (orvos) Baráth Sándor (1977-) (biológus) Hevessy Zsuzsanna (1966-) (laboratóriumi szakorvos)
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Intézményi repozitóriumban (DEA) tárolt változat
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5.

001-es BibID:BIBFORM099847
035-os BibID:(WOS)000743412100002 (Scopus)85123091562
Első szerző:Singh, Parvind (PhD hallgató)
Cím:Age-dependent frequency of unconventional T cells in a healthy adult Caucasian population : a combinational study of invariant natural killer T cells, [gamma][delta] T cells, and mucosa-associated invariant T cells / Singh Parvind, Szaraz-Szeles Marianna, Mezei Zoltan, Barath Sandor, Hevessy Zsuzsanna
Dátum:2022
ISSN:2509-2715 2509-2723
Megjegyzések:Unconventional T cells show distinct and unique features during antigen recognition as well as other immune responses. Their decrease in frequency is associated with various autoimmune disorders, allergy, inflammation, and cancer. The landscape frequency of the unconventional T cells altogether (iNKT, gamma delta T, and MAIT) is largely unestablished leading to various challenges affecting diagnosis and research in this field. In this study, we have established the age group-wise frequency of iNKT, gamma delta T, and MAIT cells altogether on a total of 203 healthy adult samples of the Caucasian population. The results revealed that iNKT cells were 0.095%, gamma delta T cells were 2.175%, and MAIT cells were 2.99% of the total T cell population. gamma delta and MAIT cell frequency is higher in younger age groups than elderly; however, there is no statistically significant difference in the frequency of iNKT cells. Furthermore, gamma delta and MAIT cells were negatively correlating with age, supporting immunosenescence, unlike iNKT cells. Our finding could be used for further age-wise investigation of various pathological conditions such as cancer and their prognosis, autoimmune diseases and their pathogenicity.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Unconventional T cells
iNKT cells
gamma delta T cells
MAIT cells
frequency
reference range
age dependent
Megjelenés:GeroScience. - 44 : 4 (2022), p. 2047-2060. -
További szerzők:Széles Mariann Mezei Zoltán András (1980-) (orvos) Baráth Sándor (1977-) (biológus) Hevessy Zsuzsanna (1966-) (laboratóriumi szakorvos)
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Intézményi repozitóriumban (DEA) tárolt változat
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6.

001-es BibID:BIBFORM118894
035-os BibID:(cikkazonosító)1329236 (WoS)001176095000001 (Scopus)85186581723
Első szerző:Tóth Eszter Lilla (orvos)
Cím:Case report : Complex evaluation of coagulation, fibrinolysis and inflammatory cytokines in a SARS-CoV-2 infected pregnant woman with fetal loss / Tóth Eszter Lilla, Orbán-Kálmándi Rita, Bagoly Zsuzsa, Lóczi Linda, Deli Tamás, Török Olga, Molnár Sarolta, Baráth Sándor, Singh Parvind, Hevessy Zsuzsanna, Katona Éva, Fagyas Miklós, Szabó Attila Ádám, Molnár Szabolcs, Krasznai Zoárd Tibor
Dátum:2024
ISSN:1664-3224
Megjegyzések:Background: SARS-CoV-2 infection during pregnancy increases the risk of severe obstetrical complications. Detailed evaluation of COVID-19-associated coagulopathy in a pregnancy with stillbirth hasn't been described so far. Besides knowledge gaps in the pathomechanism leading to stillbirth in COVID-19 pregnancies, currently, no prognostic biomarker is available to identify pregnant patients who are at imminent risk of COVID-19-associated maternal and fetal complications, requiring immediate medical attention. Case: Here we report the case of a 28-year-old SARS-CoV-2 infected pregnant patient, admitted to our hospital at 28 weeks of gestation with intrauterine fetal loss. The presence of SARS-CoV-2 placentitis was confirmed by immunohistological evaluation of the placenta. She had only mild upper respiratory symptoms and her vital signs were within reference throughout labor and postpartum. The stillborn infant was delivered per vias naturales. Fibrinogen concentrate was administered before and after labor due to markedly decreased fibrinogen levels (1.49 g/l) at admission and excessive bleeding during and after delivery. Although coagulation screening tests were not alarming at admission, the balance of hemostasis was strikingly distorted in the patient. As compared to healthy age- and gestational age-matched pregnant controls, increased D-dimer, low FVIII activity, low FXIII level, marked hypocoagulability as demonstrated by the thrombin generation assay, together with shortened clot lysis and decreased levels of fibrinolytic proteins were observed. These alterations most likely have contributed to the increased bleeding observed during labor and in the early postpartum period. Interestingly, at the same time, only moderately altered inflammatory cytokine levels were found at admission. Serum ACE2 activity did not differ in the patient from that of age- and gestational age-matched healthy controls, suggesting that despite previous speculations in the literature, ACE2 may not be used as a potential biomarker for the prediction of COVID-19 placentitis and threatening fetal loss in SARS-CoV-2-infected pregnancies. Conclusions: Although based on this case report no prognostic biomarker could be identified for use in pregnant patients with imminent risk of fetal loss associated with COVID-19 placentitis, the above-described hemostasis alterations warrant awareness of postpartum hemorrhagic complications and could be helpful to identify patients requiring intensified medical attention.
Tárgyszavak:Orvostudományok Klinikai orvostudományok esettanulmány
folyóiratcikk
COVID 19
fetal death
hemostasis
placenta
case report
stillbirth
Megjelenés:Frontiers in Immunology. - 15 (2024), p. 1-10. -
További szerzők:Orbán-Kálmándi Rita Angéla (1993-) (klinikai laboratóriumi kutató) Bagoly Zsuzsa (1978-) (orvos) Lóczi Linda (1993-) Deli Tamás (1979-) (szülész-nőgyógyász, endokrinológus szakorvos) Török Olga (1956-) (szülész-nőgyógyász, humángenetikus) Deliné Molnár Sarolta (1990-) (patológus) Baráth Sándor (1977-) (biológus) Singh, Parvind (1995-) (PhD hallgató) Hevessy Zsuzsanna (1966-) (laboratóriumi szakorvos) Katona Éva (1961-) (klinikai biokémikus) Fagyas Miklós (1984-) (orvos) Szabó Attila Ádám (1996-) (orvos) Molnár Szabolcs (1987-) (szülész-nőgyógyász szakorvos) Krasznai Zoárd Tibor (1973-) (szülész-nőgyógyász, gyermeknőgyógyász)
Pályázati támogatás:NKFI FK128582
Egyéb
TKP 2021 EGA-19
Egyéb
ÚNKP 22-3-II-DE-167
Egyéb
ÚNKP-23-5-DE-482
Egyéb
POST-COVID2021-33
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Intézményi repozitóriumban (DEA) tárolt változat
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