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001-es BibID:	BIBFORM135984
Első szerző:	Gombás Veronika
Cím:	Classifying Type 2 Diabetes Using N-Glycan Profiling and Machine Learning Algorithms / Gombás Veronika, Török Rebeka, Vitai Márta, Korányi László, Járvás Gábor, Guttman András, Vathy-Fogarassy Ágnes
Dátum:	2025
ISSN:	0926-9630 1879-8365
Megjegyzések:	Background: Type 2 diabetes (T2D) continues to present a global public health challenge due to its increasing prevalence. Early diagnosis is critical for preventing complications, but current screening methods often fail to detect early diabetic conditions. Objectives: This study aimed to classify T2D patients from healthy individuals using high-resolution N-glycan profiling. Methods: Glycan profiling was performed on serum samples from 161 individuals using capillary electrophoresis with laser-induced fluorescence detection. Different classification methods were fine-tuned using hyperparameter optimization and feature selection techniques, and their performance was comprehensively evaluated based on quality metrics. Results: The Extra Trees Classifier outperformed the other models with the highest median AUC, demonstrating robust accuracy (0.8982), sensitivity (0.8966), and specificity (0.9000). Conclusion: N-glycan profiling combined with machine learning provides a promising approach for early T2D detection. The Extra Trees Classifier showed exceptional predictive performance, warranting further investigation with larger datasets to validate its clinical applicability.
Tárgyszavak:	Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk Classification Type 2 Diabetes N-glycan Machine learning Hyperparameter optimization
Megjelenés:	Health technology and informatics. - 324 (2025), p. 84-89. -
További szerzők:	Török Rebeka Vitai Márta (1961-) (okleveles vegyész) Korányi László Járvás Gábor (1982-) (vegyészmérnök) Guttman András (1954-) (vegyészmérnök) Vathy-Fogarassy Ágnes
Pályázati támogatás:	PTP2025 Egyéb
Internet cím:	Intézményi repozitóriumban (DEA) tárolt változat DOI
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001-es BibID:	BIBFORM099697
035-os BibID:	(WoS)000718435900001 (Scopus)85117579488
Első szerző:	Török Rebeka
Cím:	N-Glycosylation Profiling of Human Blood in Type 2 Diabetes by Capillary Electrophoresis : a Preliminary Study / Torok Rebeka, Horompoly Klaudia, Szigeti Marton, Guttman Andras, Vitai Marta, Koranyi Laszlo, Jarvas Gabor
Dátum:	2021
ISSN:	1420-3049
Megjegyzések:	Currently, diagnosing type 2 diabetes (T2D) is a great challenge. Thus, there is a need to find rapid, simple, and reliable analytical methods that can detect the disease at an early stage. The aim of this work was to shed light on the importance of sample collection options, sample preparation conditions, and the applied capillary electrophoresis bioanalytical technique, for a highresolution determination of the N-glycan profile in human blood samples of patients with type 2 diabetes (T2D). To achieve the profile information of these complex oligosaccharides, linked by asparagine to hIgG in the blood, the glycoproteins of the samples needed to be cleaved, labelled, and purified with sufficient yield and selectivity. The resulting samples were analyzed by capillary electrophoresis, with laser-induced fluorescence detection. After separation parameter optimization, the capillary electrophoresis technique was implemented for efficient N-glycan profiling of whole blood samples from the diabetic patients. Our results revealed that there were subtle differences between the N-glycan profiles of the diabetic and control samples; in particular, two N-glycan structures were identified as potential glycobiomarkers that could reveal significant changes between the untreated/treated type 2 diabetic and control samples. By analyzing the resulting oligosaccharide profiles, clinically relevant information was obtained, revealing the differences between the untreated and HMG-CoA reductase-inhibitor-treated diabetic patients on changes in the N-glycan profile in the blood. In addition, the information from specific IgG N-glycosylation profiles in T2D could shed light on underlying inflammatory pathophysiological processes and lead to drug targets.
Tárgyszavak:	Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk N-glycan type 2 diabetes capillary electrophoresis biomarker blood collecting tubes
Megjelenés:	Molecules. - 26 : 21 (2021), p. 1-11. -
További szerzők:	Horompoly Klaudia Szigeti Márton (1986-) (környezetmérnök) Guttman András (1954-) (vegyészmérnök) Vitai Márta (1961-) (okleveles vegyész) Korányi László Járvás Gábor (1982-) (vegyészmérnök)
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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