Evidence map›Paper›PMID 37341803›Full record

ArticleGlycoconjugate journal2023

Unravelling the genetic causality of immunoglobulin G N-glycans in ischemic stroke.

Biyan Wang, Lei Gao, Jie Zhang, Xiaoni Meng, Xizhu Xu, Haifeng Hou, Weijia Xing, Wei Wang, Youxin Wang

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Glycoconjugate journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
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

9 authors at 4 institutions in 2 countries.

Biyan Wang *Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.
Lei Gao *Department of Medical Engineering and Medical Supplies Center, PLA General Hospital, Beijing, China.
Jie ZhangBeijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.
Xiaoni MengBeijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.
Xizhu XuSchool of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250117, China.
Haifeng HouSchool of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250117, China.
Weijia XingSchool of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250117, China. xingweijia@hotmail.com.
Wei WangBeijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China. wei.wang@ecu.edu.au.
Youxin WangBeijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China. wangy@ccmu.edu.cn.
Capital Medical University · CNShandong First Medical University · CNEdith Cowan University · AUChinese PLA General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvidence suggests that immunoglobulin G (IgG) N-glycosylation is associated with ischemic stroke (IS). However, the causality of IgG N-glycosylation for IS remains unknown.

methodsTwo-sample Mendelian randomization (MR) analyses were performed to investigate the potential causal effects of genetically determined IgG N-glycans on IS using publicly available summarized genetic data from East Asian and European populations. Genetic instruments were used as proxies for IgG N-glycan traits. IgG N-glycans were analysed using ultra-performance liquid chromatography. Four complementary MR methods were performed, including the inverse variance weighted method (IVW), MR‒Egger, weighted median and penalized weighted median. Furthermore, to further test the robustness of the results, MR based on Bayesian model averaging (MR-BMA) was then applied to select and prioritize IgG N-glycan traits as risk factors for IS.

resultsAfter correcting for multiple testing, in two-sample MR analyses, genetically predicted IgG N-glycans were unrelated to IS in both East Asian and European populations, and the results remained consistent and robust in the sensitivity analysis. Moreover, MR-BMA also showed consistent results in both East Asian and European populations.

conclusionsContrary to observational studies, the study did not provide enough genetic evidence to support the causal associations of genetically predicted IgG N-glycan traits and IS, suggesting that N-glycosylation of IgG might not directly involve in the pathogenesis of IS.

Indexed as

Ischemic StrokeBayes TheoremCausalityGenome-Wide Association StudyHumansImmunoglobulin GMendelian Randomization AnalysisPolysaccharidesImmunoglobulin GPolysaccharidesCausalityImmunoglobulin GIschemic strokeMendelian randomizationN-glycans

Identifiers

PMID37341803
OpenAlexW4381469781

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.