N-Glycosylation and Alzheimer's disease: A 2001–2025 global bibliometric landscape revealing emerging diagnostic trends

Background Alzheimer's disease (AD) lacks effective early diagnostic tools. N-glycosylation dysregulation involving the enzyme MGAT3 is implicated in AD pathogenesis, with untapped clinical potential for biomarker development. Objective To identify and validate MGAT3-associated diagnostic biomarkers for AD using integrative multi-disciplinary approaches. Methods Bibliometric analysis of N-glycosylation-AD research; large-scale GEO dataset preprocessing, WGCNA-integrated bioinformatics, machine learning, and penalized regression in well-characterized independent training/validation sets. Results Bibliometric analysis revealed −1.94% annual growth, 21.76% international co-authorship, leading contributions from the U.S., Japan, and China; Journal of Biological Chemistry as the core journal; Taniguchi N and Kizuka Y as key authors; Lee JH (2010) and Zielinska DF (2010) as highly cited works; key keywords including “bisecting GlcNAc” and “MGAT3/GnT-III”; and thematic shifts toward amyloid pathology, MGAT3-driven glycosylation, and neuronal signaling pathways. ATP6V1G2 and CHST6 emerged as core MGAT3-associated biomarkers with a strong antagonistic relationship (r = −0.63). Both demonstrated robust standalone diagnostic efficacy (AUC > 0.72) across diverse patient subgroups in the training set, with the CHST6 + ATP6V1G2 + PCSK1 combination achieving AUC 0.755. Validation confirmed ATP6V1G2 as the consistently top single biomarker (AUC = 0.761), while the ATP6V1G2 + ENO2 + SEZ6L2 panel reached peak AUC 0.764. ATP6V1G2 was significantly downregulated and CHST6 markedly upregulated in AD cohorts, with clinical utility validated via nomograms for risk stratification, decision curve analysis (net benefit 0.20–0.25), and >80% reliable correspondence between high-risk individuals and confirmed AD cases. Conclusions MGAT3-associated biomarkers (ATP6V1G2, CHST6) and their combinations offer promising AD diagnostic potential, advancing insights into N-glycosylation-mediated disease mechanisms.

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Journal
Journal of Alzheimer s Disease Reports
Published
2026-01-01
DOI
https://doi.org/10.1177/25424823251412909
Primary Topic
Glycosylation and Glycoproteins Research
Type
article
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article

N-Glycosylation and Alzheimer's disease: A 2001–2025 global bibliometric landscape revealing emerging diagnostic trends

Guoxun Shi, Feng Ju, QiGang Dong, Ye Fang
Journal of Alzheimer s Disease Reports
Glycosylation and Glycoproteins Research
article

N-Glycosylation and Alzheimer's disease: A 2001–2025 global bibliometric landscape revealing emerging diagnostic trends

Guoxun Shi, Feng Ju, QiGang Dong, Ye Fang
article en

Abstract

Background Alzheimer's disease (AD) lacks effective early diagnostic tools. N-glycosylation dysregulation involving the enzyme MGAT3 is implicated in AD pathogenesis, with untapped clinical potential for biomarker development. Objective To identify and validate MGAT3-associated diagnostic biomarkers for AD using integrative multi-disciplinary approaches. Methods Bibliometric analysis of N-glycosylation-AD research; large-scale GEO dataset preprocessing, WGCNA-integrated bioinformatics, machine learning, and penalized regression in well-characterized independent training/validation sets. Results Bibliometric analysis revealed −1.94% annual growth, 21.76% international co-authorship, leading contributions from the U.S., Japan, and China; Journal of Biological Chemistry as the core journal; Taniguchi N and Kizuka Y as key authors; Lee JH (2010) and Zielinska DF (2010) as highly cited works; key keywords including “bisecting GlcNAc” and “MGAT3/GnT-III”; and thematic shifts toward amyloid pathology, MGAT3-driven glycosylation, and neuronal signaling pathways. ATP6V1G2 and CHST6 emerged as core MGAT3-associated biomarkers with a strong antagonistic relationship (r = −0.63). Both demonstrated robust standalone diagnostic efficacy (AUC > 0.72) across diverse patient subgroups in the training set, with the CHST6 + ATP6V1G2 + PCSK1 combination achieving AUC 0.755. Validation confirmed ATP6V1G2 as the consistently top single biomarker (AUC = 0.761), while the ATP6V1G2 + ENO2 + SEZ6L2 panel reached peak AUC 0.764. ATP6V1G2 was significantly downregulated and CHST6 markedly upregulated in AD cohorts, with clinical utility validated via nomograms for risk stratification, decision curve analysis (net benefit 0.20–0.25), and >80% reliable correspondence between high-risk individuals and confirmed AD cases. Conclusions MGAT3-associated biomarkers (ATP6V1G2, CHST6) and their combinations offer promising AD diagnostic potential, advancing insights into N-glycosylation-mediated disease mechanisms.

Journal of Alzheimer s Disease ReportsVol. 10
Wuxi No.2 People's Hospital (CN), Wuxi People's Hospital (CN)
Openalex Percentile: Top 93%
Glycosylation and Glycoproteins Research
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