ArticlePloS one2018
Healthy human serum N-glycan profiling reveals the influence of ethnic variation on the identified cancer-relevant glycan biomarkers.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 51 citations in OpenAlex.
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- Minor acidic glycans: Review of focused glycomics methods.BBA advances · 2025Article
- Metabolomic heterogeneity of ageing with ethnic diversity: a step closer to healthy ageing.Metabolomics : Official journal of the Metabolomic Society · 2024Article
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- Many Roles of Carbohydrates: A Computational Spotlight on the Coronavirus S Protein Binding.ACS applied bio materials · 2024Review
- Artificial intelligence in the analysis of glycosylation data.Biotechnology advances · 2022Review
- BOA/DHB/Na: An Efficient UV-MALDI Matrix for High-Sensitivity and Auto-Tagging Glycomics.International journal of molecular sciences · 2022Article
- Alteration of rhesus macaque serum N-glycome during infection with the human parasitic filarial nematode Brugia malayi.Scientific reports · 2022Article
- Immunoglobulin G N-glycan, inflammation and type 2 diabetes in East Asian and European populations: a Mendelian randomization study.Molecular medicine (Cambridge, Mass.) · 2022Article
- Comprehensive role of SARS-CoV-2 spike glycoprotein in regulating host signaling pathway.Journal of medical virology · 2022Review
- Site-specific glycosylation of SARS-CoV-2: Big challenges in mass spectrometry analysis.Proteomics · 2022Review
- Cell Free Remodeling of Glycosylation of Antibodies.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Virus-Receptor Interactions of Glycosylated SARS-CoV-2 Spike and Human ACE2 Receptor.Cell host & microbe · 2020Article
- Analysis of the SARS-CoV-2 spike protein glycan shield reveals implications for immune recognition.Scientific reports · 2020Article
- Simplifying Glycan Profiling through a High-Throughput Micropermethylation Strategy.SLAS technology · 2020Article
- Virus-Receptor Interactions of Glycosylated SARS-CoV-2 Spike and Human ACE2 Receptor.bioRxiv : the preprint server for biology · 2020Article
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Authors and funding
8 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMost glycomics studies have focused on understanding disease mechanisms and proposing serum markers for various diseases, yet the influence of ethnic variation on the identified glyco-biomarker remains poorly addressed. This study aimed to investigate the inter-ethnic serum N-glycan variation among US origin control, Japanese, Indian, and Ethiopian healthy volunteers.
methodsHuman serum from 54 healthy subjects of various ethnicity and 11 Japanese hepatocellular carcinoma (HCC) patients were included in the study. We employed a comprehensive glycoblotting-assisted MALDI-TOF/MS-based quantitative analysis of serum N-glycome and fluorescence HPLC-based quantification of sialic acid species. Data representing serum N-glycan or sialic acid levels were compared among the ethnic groups using SPSS software.
resultsTotal of 51 N-glycans released from whole serum glycoproteins could be reproducibly quantified within which 33 glycoforms were detected in all ethnicities. The remaining N-glycans were detected weakly but exclusively either in the Ethiopians (13 glycans) or in all the other ethnic groups (5 glycans). Highest abundance (p < 0.001) of high mannose, core-fucosylated, hyperbranched/hypersialylated N-glycans was demonstrated in Ethiopians. In contrast, only one glycan (m/z 2118) significantly differed among all ethnicities being highest in Indians and lowest in Ethiopians. Glycan abundance trend in Ethiopians was generally close to that of Japanese HCC patients. Glycotyping analysis further revealed ethnic-based disparities mainly in the branched and sialylated structures. Surprisingly, some of the glycoforms greatly elevated in the Ethiopian subjects have been identified as serum biomarkers of various cancers. Sialic acid level was significantly increased primarily in Ethiopians, compared to the other ethnicities.
conclusionThe study revealed ethnic-specific differences in healthy human serum N-glycome with highest abundance of most glycoforms in the Ethiopian ethnicity. The results strongly emphasized the need to consider ethnicity matching for accurate glyco-biomarker identification. Further large-scale study employing various ethnic compositions is needed to verify the current result.
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