ArticleJournal of clinical laboratory analysis2021
Serum N-glycan profiling as a diagnostic biomarker for the identification and assessment of psoriasis.
Article in Journal of clinical laboratory analysis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 14 citations in OpenAlex.
- A Serum N-Glycan Ratio Associated With Disease Severity and Treatment Response in Psoriasis.The Journal of dermatology · 2026Article
- FUT11-Driven fucosylation coordinates K63 ubiquitination of keratin 17 to sustain psoriatic keratinocytes hyperproliferation.Cell communication and signaling : CCS · 2025Article
- Central Role of β-1,4-GalT-V in Cancer Signaling, Inflammation, and Other Disease-Centric Pathways.International journal of molecular sciences · 2023Review
- Proteomic and Metabolomic Changes in Psoriasis Preclinical and Clinical Aspects.International journal of molecular sciences · 2023Review
- N-glycan profiling alterations of serum and immunoglobulin G in immune thrombocytopenia.Journal of clinical laboratory analysis · 2022Article
- Serum N-glycan profiling as a diagnostic biomarker for the identification of hepatitis B virus-associated hepatocellular carcinoma.Journal of gastrointestinal oncology · 2022Article
- Emerging Roles of Post-Translational Modifications in Skin Diseases: Current Knowledge, Challenges and Future Perspectives.Journal of inflammation research · 2022Review
- Macrophage migration inhibitory factor gene polymorphisms (SNP -173 G>C and STR-794 CATT5-8) confer risk of plaque psoriasis: A case-control study.Journal of clinical laboratory analysis · 2021Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundGlycosylation is an important post-translational modification of protein. The change in glycosylation is involved in the occurrence and development of various diseases, and this study verified that N-glycan markers might be a diagnostic marker in psoriasis.
methodsA total of 76 psoriasis patients were recruited. We used Psoriasis Area Severity Index (PASI) scores to evaluate the state of psoriasis, 41 of whom were divided into three subgroups: mild, moderate, and severe. At the same time, 76 healthy subjects were enrolled as a control group. We used DNA sequencer-assisted fluorophore-assisted carbohydrate electrophoresis (DSA-FACE) to analyze serum N-glycan profiling.
resultsCompared with the healthy controls, the relative abundance of structures in peaks 5(NA2), 9(NA3Fb), 11(NA4), and 12(NA4Fb) was elevated (p < .05), while that in peaks 3(NG1A2F), 4(NG1A2F), 6(NA2F), and 7(NA2FB) was decreased (p < .05) in the psoriasis group. The abundance of peak 5 (NA2) increased gradually with the aggravation of disease severity though there was no statistically significant, was probably correlated with the disease severity. The best area under the receiver operating characteristic (ROC) curve (AUC) of the logistic regression model (PglycoA) to diagnose psoriasis was 0.867, with a sensitivity of 72.37%, a specificity of 85.53%, a positive predictive value(PPV) of 83.33%, a negative predictive value(NPV) of 75.58%, and an accuracy of 78.95%.
conclusionsOur study indicated that the N-glycan-based diagnostic model would be a new, valuable, and noninvasive alternative for diagnosing psoriasis. Furthermore, the characteristic distinctive N-glycan marker might be correlated with the severity gradation of the psoriasis disease.
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