Evidence map›Paper›PMID 37210547›Full record

ArticleLipids in health and disease2023

Serum lipidomics reveals phosphatidylethanolamine and phosphatidylcholine disorders in patients with myocardial infarction and post-myocardial infarction-heart failure.

Jidong Rong, Tianmu He, Jianyong Zhang, Zhixun Bai, Bei Shi

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
7.5field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
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  8. Plasma non-targeted metabolomics unravels the metabolic features of normal trans-right heart.Metabolomics : Official journal of the Metabolomic Society · 2025
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Jidong RongDepartment of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Tianmu HeSchool of Basic Medical Sciences, Guizhou medical University, Guiyang, China.
Jianyong ZhangCollege of pharmacy, Zunyi medical University, Zunyi, China.
Zhixun BaiDepartment of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi, China. zhixunbai@zmu.edu.cn.
Bei ShiDepartment of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi, China. shibei2147@163.com.
Zunyi Medical University · CNGuiyang Medical University · CN

Funding

National Natural Science Foundation of China 82260106The Project of Guizhou Provincial Health Commission gzwkj2021-138The Special Project of Innovation and Exploration in Zunyi Medical University 2020-024The Technological Project of Zunyi Science and Technology Bureau HZ-2021- No. 218
6 · The paper itself

Abstract

backgroundMyocardial infarction (MI) and post-MI-heart failure (pMIHF) are a major cause of death worldwide, however, the underlying mechanisms of pMIHF from MI are not well understood. This study sought to characterize early lipid biomarkers for the development of pMIHF disease.

methodsSerum samples from 18 MI and 24 pMIHF patients were collected from the Affiliated Hospital of Zunyi Medical University and analyzed using lipidomics with Ultra High Performance Liquid Chromatography and Q-Exactive High Resolution Mass Spectrometer. The serum samples were tested by the official partial least squares discriminant analysis (OPLS-DA) to find the differential expression of metabolites between the two groups. Furthermore, the metabolic biomarkers of pMIHF were screened using the subject operating characteristic (ROC) curve and correlation analysis.

resultsThe average age of the 18 MI and 24 pMIHF participants was 57.83 ± 9.28 and 64.38 ± 10.89 years, respectively. The B-type natriuretic peptide (BNP) level was 328.5 ± 299.842 and 3535.96 ± 3025 pg/mL, total cholesterol(TC) was 5.59 ± 1.51 and 4.69 ± 1.13 mmol/L, and blood urea nitrogen (BUN) was 5.24 ± 2.15 and 7.20 ± 3.49 mmol/L, respectively. In addition, 88 lipids, including 76 (86.36%) down-regulated lipids, were identified between the patients with MI and pMIHF. ROC analysis showed that phosphatidylethanolamine (PE) (12:1e_22:0) (area under the curve [AUC] = 0.9306) and phosphatidylcholine (PC) (22:4_14:1) (AUC = 0.8380) could be potential biomarkers for the development of pMIHF. Correlation analysis showed that PE (12:1e_22:0) was inversely correlated with BNP and BUN, but positively correlated with TC. In contrast, PC (22:4_14:1) was positively associated with both BNP and BUN, and was negatively associated with TC.

conclusionsSeveral lipid biomarkers were identified that could potentially be used to predict and diagnose patients with pMIHF. PE (12:1e_22:0) and PC (22:4_14:1) could sufficiently differentiate between patients with MI and pMIHF.

Indexed as

Heart FailureMyocardial InfarctionAgedBiomarkersHumansLipidomicsMiddle AgedPhosphatidylcholinesPhosphatidylethanolaminesBiomarkersPhosphatidylcholinesPhosphatidylethanolaminesHeart failureLipidomicsMyocardial infarction

Identifiers

PMID37210547
PMCPMC10199531
OpenAlexW4377137419

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LicenceCC BY
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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.