Evidence map›Paper›PMID 36860533›Full record

ArticleRSC advances2023

Quantitative analysis of fucosylated glycoproteins by immobilized lectin-affinity fluorescent labeling.

Ziyuan Gao, Sufeng Chen, Jing Du, Zhen Wu, Wei Ge, Song Gao, Zeyang Zhou, Xiaodong Yang, Yufei Xing, Minhua Shi and 6 more

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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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

16 authors at 3 institutions in 1 country.

Ziyuan GaoDepartment of Respiratory Medicine, The First Affiliated Hospital of Soochow University Suzhou 215006 China jiangjunhong1969@suda.edu.cn.ORCID https://orcid.org/0000-0002-2070-0384
Sufeng ChenClinical Laboratory Center, Zhejiang Provincial People's Hospital Hangzhou Zhejiang 310014 China.
Jing DuClinical Laboratory Center, Zhejiang Provincial People's Hospital Hangzhou Zhejiang 310014 China.
Zhen WuState Key Laboratory of Genetic Engineering, Department of Biochemistry, School of Life Sciences, Fudan University Shanghai 200438 China.
Wei GeCenter for Clinical Mass Spectrometry, College of Pharmaceutical Sciences, Soochow University Suzhou 215123 China yangs2020@suda.edu.cn.
Song GaoJiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, Jiangsu Key Laboratory of Marine Biological Resources and Environment, Co-Innovation Center of Jiangsu Marine Bio-industry Technology, School of Pharmacy, Jiangsu Ocean University Lianyungang 222005 China.ORCID https://orcid.org/0000-0002-0151-6493
Zeyang ZhouDepartment of General Surgery, The Second Affiliated Hospital of Soochow University Suzhou 215004 China.
Xiaodong YangDepartment of General Surgery, The Second Affiliated Hospital of Soochow University Suzhou 215004 China.
Yufei XingDepartment of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Soochow University Suzhou 215004 China.
Minhua ShiDepartment of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Soochow University Suzhou 215004 China.
Yunyun HuDepartment of Gastroenterology, The Second Affiliated Hospital of Soochow University Suzhou 215004 China.
Wen TangDepartment of Gastroenterology, The Second Affiliated Hospital of Soochow University Suzhou 215004 China.
Jun XiaClinical Laboratory Center, Zhejiang Provincial People's Hospital Hangzhou Zhejiang 310014 China.
Xumin ZhangState Key Laboratory of Genetic Engineering, Department of Biochemistry, School of Life Sciences, Fudan University Shanghai 200438 China.
Junhong JiangDepartment of Respiratory Medicine, The First Affiliated Hospital of Soochow University Suzhou 215006 China jiangjunhong1969@suda.edu.cn.
Shuang YangCenter for Clinical Mass Spectrometry, College of Pharmaceutical Sciences, Soochow University Suzhou 215123 China yangs2020@suda.edu.cn.ORCID https://orcid.org/0000-0001-7958-0594
Soochow University · CNZhejiang Provincial People's Hospital · CNFudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human biofluids are often used to discover disease-specific glycosylation, since abnormal changes in protein glycosylation can discern physiopathological states. Highly glycosylated proteins in biofluids make it possible to identify disease signatures. Glycoproteomic studies on saliva glycoproteins showed that fucosylation was significantly increased during tumorigenesis and that glycoproteins became hyperfucosylated in lung metastases, and tumor stage is associated with fucosylation. Quantification of salivary fucosylation can be achieved by mass spectrometric analysis of fucosylated glycoproteins or fucosylated glycans; however, the use of mass spectrometry is non-trivial for clinical practice. Here, we developed a high-throughput quantitative method, lectin-affinity fluorescent labeling quantification (LAFLQ), to quantify fucosylated glycoproteins without relying on mass spectrometry. Lectins with a specific affinity for fucoses are immobilized on the resin and effectively capture fluorescently labeled fucosylated glycoproteins, which are further quantitatively characterized by fluorescence detection in a 96-well plate. Our results demonstrated that serum IgG can be accurately quantified by lectin and fluorescence detection. Quantification in saliva showed significantly higher fucosylation in lung cancer patients compared to healthy controls or other non-cancer diseases, suggesting that this method has the potential to quantify stage-related fucosylation in lung cancer saliva.

Identifiers

PMID36860533
PMCPMC9969232
OpenAlexW4322580192

What OpenQuestion holds

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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.