Evidence map›Paper›PMID 31227919›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2019

Comprehensive metabolomic and proteomic analyses reveal candidate biomarkers and related metabolic networks in atrial fibrillation.

Juntuo Zhou, Lijie Sun, Liwen Chen, Shuwang Liu, Lijun Zhong, Ming Cui

Abstract read
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In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

29 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
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  4. Review
  5. Metabolic and Inflammatory Mechanisms Driving Atrial Fibrillation.Annual review of pharmacology and toxicology · 2026
    Review
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  7. Article
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  18. Article
  19. The role of lactate in cardiovascular diseases.Cell communication and signaling : CCS · 2023
    Review
  20. 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

6 authors at 2 institutions in 2 countries.

Juntuo ZhouBeijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, 100083, China.
Lijie SunDepartment of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital; Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Ministry of Health; Key Laboratory of Molecular Cardiovascular Science, Ministry of Education; Beijing Key Laboratory of Cardiovascular Receptors Research, No. 49, Hua Yuan North Rd, Hai Dian District, Beijing, 100191, China.
Liwen ChenDepartment of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital; Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Ministry of Health; Key Laboratory of Molecular Cardiovascular Science, Ministry of Education; Beijing Key Laboratory of Cardiovascular Receptors Research, No. 49, Hua Yuan North Rd, Hai Dian District, Beijing, 100191, China.
Shuwang LiuDepartment of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital; Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Ministry of Health; Key Laboratory of Molecular Cardiovascular Science, Ministry of Education; Beijing Key Laboratory of Cardiovascular Receptors Research, No. 49, Hua Yuan North Rd, Hai Dian District, Beijing, 100191, China.
Lijun ZhongCenter of Medical and Health Analysis, Peking University Health Science Center, Beijing, 100191, China. zhonglijun@bjmu.edu.cn.ORCID 0000-0002-4228-182X
Ming CuiDepartment of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital; Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Ministry of Health; Key Laboratory of Molecular Cardiovascular Science, Ministry of Education; Beijing Key Laboratory of Cardiovascular Receptors Research, No. 49, Hua Yuan North Rd, Hai Dian District, Beijing, 100191, China. mingcui@bjmu.edu.cn.
Peking University · CNBeihang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAtrial fibrillation (AF) is an abnormal heart rhythm characterized by an irregular beating of the atria and is associated with an increased risk of heart failure, dementia, and stroke. Currently, the perturbation of plasma content due to AF disease onset is not well known.

objectivesTo investigate dysregulated molecules in blood plasma of untreated AF patients, with the goal of identifying biomarkers for disease screening and pathological studies.

methodsLC-MS based untargeted metabolomics, lipidomics and proteomics analyses were performed to find candidate biomarkers. A targeted quantification assay and an ELISA were performed to validate the results of the omics analyses.

resultsWe found that 24 metabolites, 16 lipids and 16 proteins were significantly dysregulated in AF patients. Pathway enrichment analysis showed that the purine metabolic pathway and fatty acid metabolism were perturbed by AF onset. FA 20:2 and FA 22:4 show great linear correlational relationship with the left atrial area and could be considered for AF disease stage monitoring or prognosis evaluation.

conclusionwe used a comprehensive multiple-omics strategy to systematically investigate the dysregulated molecules in the plasma of AF patients, thereby revealing potential biomarkers for diagnosis and providing information for pathological studies.

Indexed as

AgedArea Under CurveAtrial FibrillationBiomarkersCase-Control StudiesChromatography, High Pressure LiquidEnzyme-Linked Immunosorbent AssayFatty AcidsFemaleHumansMaleMass SpectrometryMetabolic Networks and PathwaysMetabolomicsMiddle AgedPrincipal Component AnalysisBiomarkersFatty AcidsAtrial fibrillationBiomarkersMetabolomicsProteomics

Identifiers

PMID31227919
OpenAlexW2949625469

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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.