Comparative analysis of the human serum N-glycome in lung cancer, COPD and their comorbidity using capillary electrophoresis

Mészáros, Beáta; Járvás, Gábor; Farkas, Anna; Szigeti, Márton; Kovács, Zsuzsanna; Kun, Renáta; Szabó, Miklós; Csánky, Eszter; Guttman, András

doi:10.1016/j.jchromb.2019.121913

Cited by 27 publications

(18 citation statements)

References 32 publications

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“…1. Structural elucidation of all separated Nglycans was accomplished as reported in [30]. Briefly, structure identification utilized direct mining of GU database entries (GUcal application linked with the GlycoStore data collection), and some earlier published literature data on similar samples [30][31][32].…”

Section: Resultsmentioning

confidence: 99%

Evaluation of Possible Processing Time Effects on the Global N-Glycosylation Profile of Human Blood Samples

Torok

Farkas

Guttman

et al. 2021

CMM

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The utilization of N-glycan profiling recently gained high importance in fundamental biomedical and applied clinical research. However, for the time being, no glycan biomarker has been approved for clinical diagnosis by the regulatory agencies due to the lack of verifications on large patient cohorts and suitable analytical technologies. In this paper, the effect of human blood sample handling was studied prior to N-glycosylation profiling by capillary electrophoresis, coupled with high sensitivity fluorescence detection. Special attention was paid to the preservation of sialylated structures because of their important clinical - biological relevance. Our results suggested that it is adequate to refrigerate and store the collected total blood samples prior to analysis to obtain unbiased results. Furthermore, we report on the good practice of serum sample handling in order to prevent decomposition of the sialylated structures. Our findings may promote procedure standardization and easier clinical translation of diagnostic N-glycosylation profiling in molecular medicinal applications.

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Section: Resultsmentioning

confidence: 99%

Evaluation of Possible Processing Time Effects on the Global N-Glycosylation Profile of Human Blood Samples

Torok

Farkas

Guttman

et al. 2021

CMM

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“…In this study, serum samples from 17 lung cancer patients were investigated before and after tumor-removing surgery. First, as reported earlier [ 9 ], a pooled control serum N- glycome was profiled by capillary electrophoresis with laser-induced fluorescence detection and the resulting electropherogram is shown in Figure 1 . Glycans with greater than 1% relative peak area were selected for downstream multiparametric analysis.…”

Section: Resultsmentioning

confidence: 99%

“…Therefore, modification of the N- glycan profile is one of the hallmarks of malignancy and possibly also holds information about the tumor behavior [ 8 ]; thus, it is a promising method to pursue for biomarker discovery. In our earlier work, we suggested a panel of asparagine-linked carbohydrates for lung cancer diagnosis even at early stages by identifying slight changes in the human serum N- glycan profile [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Based Analysis of Human Serum N-glycome Alterations to Follow up Lung Tumor Surgery

Mészáros

Járvás

Kun

et al. 2020

Cancers

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The human serum N-glycome is a valuable source of biomarkers for malignant diseases, already utilized in multiple studies. In this paper, the N-glycosylation changes in human serum proteins were analyzed after surgical lung tumor resection. Seventeen lung cancer patients were involved in this study and the N-glycosylation pattern of their serum samples was analyzed before and after the surgery using capillary electrophoresis separation with laser-induced fluorescent detection. The relative peak areas of 21 N-glycans were evaluated from the acquired electropherograms using machine learning-based data analysis. Individual glycans as well as their subclasses were taken into account during the course of evaluation. For the data analysis, both discrete (e.g., smoker or not) and continuous (e.g., age of the patient) clinical parameters were compared against the alterations in these 21 N-linked carbohydrate structures. The classification tree analysis resulted in a panel of N-glycans, which could be used to follow up on the effects of lung tumor surgical resection.

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“…The N-glycosylation of proteins is an important post-translational modification, representing a good source of biomarker discoveries [5]. Global N-glycan profiling has recently gained high importance for both fundamental biomedical and applied clinical research, as well as for diagnostic purposes, e.g., in the cases of diabetes, chronic obstructive pulmonary disease (COPD), and prostate cancer [6][7][8]. Due to the recent advances in bioseparation methods and the associated software tools, N-glycosylation has been targeted in the search for disease biomarkers for early diagnosis and patient stratification.…”

Section: Introductionmentioning

confidence: 99%

N-Glycosylation Profiling of Human Blood in Type 2 Diabetes by Capillary Electrophoresis: A Preliminary Study

et al. 2021

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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 high-resolution 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.

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Comparative analysis of the human serum N-glycome in lung cancer, COPD and their comorbidity using capillary electrophoresis

Cited by 27 publications

References 32 publications

Evaluation of Possible Processing Time Effects on the Global N-Glycosylation Profile of Human Blood Samples

Evaluation of Possible Processing Time Effects on the Global N-Glycosylation Profile of Human Blood Samples

Machine Learning Based Analysis of Human Serum N-glycome Alterations to Follow up Lung Tumor Surgery

N-Glycosylation Profiling of Human Blood in Type 2 Diabetes by Capillary Electrophoresis: A Preliminary Study

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