Evidence map›Paper›PMID 33862227›Full record

ArticleMolecular & cellular proteomics : MCP2021

In-depth Site-specific Analysis of N-glycoproteome in Human Cerebrospinal Fluid and Glycosylation Landscape Changes in Alzheimer's Disease.

Zhengwei Chen, Qinying Yu, Qing Yu, Jillian Johnson, Richard Shipman, Xiaofang Zhong, Junfeng Huang, Sanjay Asthana, Cynthia Carlsson, Ozioma Okonkwo and 1 more

Open access · goldAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
4.9field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

48 citing papers in PubMed, 76 citations in OpenAlex.

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  11. Recent Advances in Human Cerebrospinal Fluid Proteomics.Methods in molecular biology (Clifton, N.J.) · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Zhengwei ChenDepartment of Chemistry, University of Wisconsin, Madison, Wisconsin, USA.
Qinying YuSchool of Pharmacy, University of Wisconsin, Madison, Wisconsin, USA.
Qing YuSchool of Pharmacy, University of Wisconsin, Madison, Wisconsin, USA.
Jillian JohnsonSchool of Pharmacy, University of Wisconsin, Madison, Wisconsin, USA.
Richard ShipmanDepartment of Applied Science, University of Wisconsin-Stout, Menomonie, Wisconsin, USA.
Xiaofang ZhongSchool of Pharmacy, University of Wisconsin, Madison, Wisconsin, USA.
Junfeng HuangSchool of Pharmacy, University of Wisconsin, Madison, Wisconsin, USA.
Sanjay AsthanaSchool of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin, USA.
Cynthia CarlssonSchool of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin, USA.
Ozioma OkonkwoSchool of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin, USA.
Lingjun LiDepartment of Chemistry, University of Wisconsin, Madison, Wisconsin, USA; School of Pharmacy, University of Wisconsin, Madison, Wisconsin, USA. Electronic address: lingjun.li@wisc.edu.
University of Wisconsin–Madison · USUniversity of Wisconsin–Stout · USUniversity of Wisconsin System · US

Funding

Wisconsin Alzheimer's Disease Research CenterP30AG062715 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Barbara Brigitta Bendlin · 2019 to 2026
$34.5M
TR&D 2 Metabolic Labels for Ultraplexed Protein Quantification p. 453P41GM108538 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI COON, JOSHUA J · 2016 to 2025
$13.1M
Mass Spectrometric Studies of Neuropeptides in FeedingR01DK071801 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI LINGJUN LI · 2006 to 2026
$6.7M
Di-Leu-enabled multiplexed quantitation for biomarker discovery and validation in Alzheimer's diseaseRF1AG052324 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2018 to 2018
$2.4M
Acquisition of a High-Field Dual Source FTICR-MS for Pharmaceutical ResearchS10RR029531 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2011 to 2011
$2.1M
MULTIPLEX CHEMICAL TAGS FOR HIGH-THROUGHPUT GLYCAN AND GLYCOPEPTIDE QUANTITATION AND CHARACTERIZATIONU01CA231081 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2018 to 2020
$1.3M
Probing Protein Structural Changes in Alzheimers DiseaseR21AG065728 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2020 to 2020
$420k
NCI NIH HHS U01 CA231081NCRR NIH HHS S10 RR029531NIA NIH HHS P30 AG062715NIA NIH HHS R21 AG065728NIA NIH HHS RF1 AG052324NIDDK NIH HHS R01 DK071801NIGMS NIH HHS P41 GM108538
6 · The paper itself

Abstract

As the body fluid that directly interchanges with the extracellular fluid of the central nervous system (CNS), cerebrospinal fluid (CSF) serves as a rich source for CNS-related disease biomarker discovery. Extensive proteome profiling has been conducted for CSF, but studies aimed at unraveling site-specific CSF N-glycoproteome are lacking. Initial efforts into site-specific N-glycoproteomics study in CSF yield limited coverage, hindering further experimental design of glycosylation-based disease biomarker discovery in CSF. In the present study, we have developed an N-glycoproteomic approach that combines enhanced N-glycopeptide sequential enrichment by hydrophilic interaction chromatography (HILIC) and boronic acid enrichment with electron transfer and higher-energy collision dissociation (EThcD) for large-scale intact N-glycopeptide analysis. The application of the developed approach to the analyses of human CSF samples enabled identifications of a total of 2893 intact N-glycopeptides from 511 N-glycosites and 285 N-glycoproteins. To our knowledge, this is the largest site-specific N-glycoproteome dataset reported for CSF to date. Such dataset provides molecular basis for a better understanding of the structure-function relationships of glycoproteins and their roles in CNS-related physiological and pathological processes. As accumulating evidence suggests that defects in glycosylation are involved in Alzheimer's disease (AD) pathogenesis, in the present study, a comparative in-depth N-glycoproteomic analysis was conducted for CSF samples from healthy control and AD patients, which yielded a comparable N-glycoproteome coverage but a distinct expression pattern for different categories of glycoforms, such as decreased fucosylation in AD CSF samples. Altered glycosylation patterns were detected for a number of N-glycoproteins including alpha-1-antichymotrypsin, ephrin-A3 and carnosinase CN1 etc., which serve as potentially interesting targets for further glycosylation-based AD study and may eventually lead to molecular elucidation of the role of glycosylation in AD progression.

Indexed as

Alzheimer DiseaseCell LineGlycopeptidesGlycoproteinsGlycosylationHumansProteomeGlycopeptidesGlycoproteinsProteomecerebrospinal fluidelectron-transfer higher-energy collision induced dissociation (EThcD)glycopeptide enrichmentN-glycoproteome analysissite-specific intact glycopeptide characterization

Identifiers

PMID33862227
PMCPMC8724636
OpenAlexW3155210079

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.