Evidence mapPaperPMID 35371012Full record

ArticleFrontiers in immunology2022

Comprehensive Metabolic Profiling of Inflammation Indicated Key Roles of Glycerophospholipid and Arginine Metabolism in Coronary Artery Disease.

Qian Zhu, Yonglin Wu, Jinxia Mai, Gongjie Guo, Jinxiu Meng, Xianhong Fang, Xiaoping Chen, Chen Liu, Shilong Zhong

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
14.5field-weighted citation impact, top 1% 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

62 citing papers in PubMed, 99 citations in OpenAlex.

  1. Article
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  3. Differential metabolic profiles by training fire exposure in female firefighters.International journal of hygiene and environmental health · 2026
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2 more citing papers are in PubMed but not listed here.

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 5 institutions in 1 country.

Qian ZhuSchool of Medicine, South China University of Technology, Guangzhou, China.
Yonglin WuSchool of Pharmaceutical Sciences, Southern Medical University, Guangzhou, China.
Jinxia MaiSchool of Pharmaceutical Sciences, Southern Medical University, Guangzhou, China.
Gongjie GuoSchool of Medicine, South China University of Technology, Guangzhou, China.
Jinxiu MengGuangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Xianhong FangDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Xiaoping ChenDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China.
Chen LiuDepartment of Cardiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Shilong ZhongSchool of Medicine, South China University of Technology, Guangzhou, China.
Guangdong Academy of Medical Sciences · CNGuangdong Provincial People's Hospital · CNSouthern Medical University · CNThe First Affiliated Hospital, Sun Yat-sen University · CNXiangya Hospital Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Systemic immune inflammation is a key mediator in the progression of coronary artery disease (CAD), concerning various metabolic and lipid changes. In this study, the relationship between the inflammatory index and metabolic profile in patients with CAD was investigated to provide deep insights into metabolic disturbances related to inflammation. Methods: Widely targeted plasma metabolomic and lipidomic profiling was performed in 1,234 patients with CAD. Laboratory circulating inflammatory markers were mainly used to define general systemic immune and low-grade inflammatory states. Multivariable-adjusted linear regression was adopted to assess the associations between 860 metabolites and 7 inflammatory markers. Least absolute shrinkage and selection operator (LASSO) logistic-based classifiers and multivariable logistic regression were applied to identify biomarkers of inflammatory states and develop models for discriminating an advanced inflammatory state. Results: Multiple metabolites and lipid species were linearly associated with the seven inflammatory markers [false discovery rate (FDR) <0.05]. LASSO and multivariable-adjusted logistic regression analysis identified significant associations between 45 metabolites and systemic immune-inflammation index, 46 metabolites and neutrophil-lymphocyte ratio states, 32 metabolites and low-grade inflammation score, and 26 metabolites and high-sensitivity C-reactive protein states ( Conclusions: This study provides further information on the relationship between plasma metabolite profiles and inflammatory states represented by various inflammatory markers in CAD. These metabolic markers provide potential insights into pathological changes during CAD progression and may aid in the development of therapeutic targets.

Indexed as

Coronary Artery DiseaseArginineBiomarkersGlycerophospholipidsHumansInflammationMetabolomicsArginineBiomarkersGlycerophospholipidsarteriosclerosiscoronary artery diseaseglycerophospholipid metabolisminflammationlipidomemetabolome

Identifiers

PMID35371012
PMCPMC8965586
OpenAlexW4221042366

What Socratic holds

Textmetadata
LicenceCC BY
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.