Evidence map›Paper›PMID 38512812›Full record

ArticleCell cycle (Georgetown, Tex.)2024

Effects of

Yuping Yan, Xiaoyan Du, Xia Dou, Jingjie Li, Wenjie Zhang, Shuangyu Yang, Wenting Meng, Gang Tian

Open access · greenAbstract read
In one paragraph

Article in Cell cycle (Georgetown, Tex.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 4 institutions in 2 countries.

Yuping YanDepartment of Cardiovascular Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Xiaoyan DuDepartment of Cardiovascular Medicine, First Hospital of Yulin City, Yulin, Shaanxi, China.
Xia DouMinistry of Education, Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Xi'an, Shaanxi, China.
Jingjie LiMinistry of Education, Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Xi'an, Shaanxi, China.
Wenjie ZhangMinistry of Education, Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Xi'an, Shaanxi, China.
Shuangyu YangMinistry of Education, Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Xi'an, Shaanxi, China.
Wenting MengMinistry of Education, Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Xi'an, Shaanxi, China.
Gang TianDepartment of Cardiovascular Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
First Affiliated Hospital of Xi'an Jiaotong University · CNNorthwest University · USXi'an Jiaotong University · CNYulin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study was to explore the effects of Ninjurin 2 (NINJ2) polymorphisms on susceptibility to coronary heart disease (CHD).

methodsWe conducted a case-control study with 499 CHD cases and 505 age and gender-matched controls. Five single nucleotide polymorphisms (SNPs) in NINJ2 (rs118050317, rs75750647, rs7307242, rs10849390, and rs11610368) were genotyped by the Agena MassARRAY platform. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using logistic regression analysis to assess the association of NINJ2 polymorphisms and CHD risk-adjusted for age and gender. What's more, risk genes and molecular functions were screened via protein-protein interaction (PPI) network and functional enrichment analysis.

resultsRs118050317 in NINJ2 significantly increased CHD risk in people aged more than 60 years and women. Rs118050317 and rs7307242 had strong relationships with hypertension risk in CHD patients. Additionally, rs75750647 exceedingly raised diabetes risk in cases under multiple models, whereas rs10849390 could protect CHD patients from diabetes in allele, homozygote, and additive models. We also observed two blocks in NINJ2. Further interaction network and enrichment analysis showed that NINJ2 played a greater role in the pathogenesis and progression of CHD.

conclusionOur results suggest that NINJ2 polymorphisms are associated with CHD risk.

Indexed as

Cell Adhesion Molecules, NeuronalCoronary DiseaseGenetic Predisposition to DiseasePolymorphism, Single NucleotideAgedCase-Control StudiesFemaleGenotypeHumansMaleMiddle AgedRisk FactorsCell Adhesion Molecules, NeuronalNINJ2 protein, humanCoronary heart diseaseNINJ2stratification analysis

Identifiers

PMID38512812
PMCPMC11057668
OpenAlexW3117155380

What OpenQuestion 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 OpenQuestion graph.