Evidence map›Paper›PMID 34178943›Full record

ArticleFrontiers in chemistry2021

Identification of Dysregulated Complement Activation Pathways Driven by N-Glycosylation Alterations in T2D Patients.

Yang Zhao, Man Wang, Bo Meng, Ying Gao, Zhichao Xue, Minjun He, You Jiang, Xinhua Dai, Dan Yan, Xiang Fang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 29% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
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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

10 authors at 2 institutions in 1 country.

Yang ZhaoCenter for Advanced Measurement Science, National Institute of Metrology, Beijing, China.
Man WangCenter for Advanced Measurement Science, National Institute of Metrology, Beijing, China.
Bo MengCenter for Advanced Measurement Science, National Institute of Metrology, Beijing, China.
Ying GaoCenter for Advanced Measurement Science, National Institute of Metrology, Beijing, China.
Zhichao XueCenter for Advanced Measurement Science, National Institute of Metrology, Beijing, China.
Minjun HeCenter for Advanced Measurement Science, National Institute of Metrology, Beijing, China.
You JiangCenter for Advanced Measurement Science, National Institute of Metrology, Beijing, China.
Xinhua DaiCenter for Advanced Measurement Science, National Institute of Metrology, Beijing, China.
Dan YanCollege of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Xiang FangCenter for Advanced Measurement Science, National Institute of Metrology, Beijing, China.
National Institute of Metrology · CNBeijing Shijitan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes has become a major public health concern worldwide, most of which are type 2 diabetes (T2D). The diagnosis of T2D is commonly based on plasma glucose levels, and there are no reliable clinical biomarkers available for early detection. Recent advances in proteome technologies offer new opportunity for the understanding of T2D; however, the underlying proteomic characteristics of T2D have not been thoroughly investigated yet. Here, using proteomic and glycoproteomic profiling, we provided a comprehensive landscape of molecular alterations in the fasting plasma of the 24 Chinese participants, including eight T2D patients, eight prediabetic (PDB) subjects, and eight healthy control (HC) individuals. Our analyses identified a diverse set of potential biomarkers that might enhance the efficiency and accuracy based on current existing biological indicators of (pre)diabetes. Through integrative omics analysis, we showed the capability of glycoproteomics as a complement to proteomics or metabolomics, to provide additional insights into the pathogenesis of (pre)diabetes. We have newly identified systemic site-specific N-glycosylation alterations underlying T2D patients in the complement activation pathways, including decreased levels of N-glycopeptides from C1s, MASP1, and CFP proteins, and increased levels of N-glycopeptides from C2, C4, C4BPA, C4BPB, and CFH. These alterations were not observed at proteomic levels, suggesting new opportunities for the diagnosis and treatment of this disease. Our results demonstrate a great potential role of glycoproteomics in understanding (pre)diabetes and present a new direction for diabetes research which deserves more attention.

Indexed as

complementdiabetesglycoproteomicsN-glycopeptidesproteomics

Identifiers

PMID34178943
PMCPMC8226093
OpenAlexW3170670796

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.