Evidence map›Paper›PMID 32386519›Full record

ArticleLipids in health and disease2020

Serum lipids profiling perturbances in patients with ischemic heart disease and ischemic cardiomyopathy.

Lin Yang, Liang Wang, Yangyang Deng, Lizhe Sun, Bowen Lou, Zuyi Yuan, Yue Wu, Bo Zhou, Junhui Liu, Jianqing She

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed, 25 citations in OpenAlex.

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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

10 authors at 1 institution in 1 country.

Lin YangVascular surgery Department, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Liang WangDepartment of cardiovascular surgery, The general hospital of Ningxia Medical Univetsity, Yinchuan, China.
Yangyang DengCardiovascular Department, First Affiliated Hospital of Medical College, Xi'an Jiaotong University, Xi'an, 710048, People's Republic of China.
Lizhe SunCardiovascular Department, First Affiliated Hospital of Medical College, Xi'an Jiaotong University, Xi'an, 710048, People's Republic of China.
Bowen LouCardiovascular Department, First Affiliated Hospital of Medical College, Xi'an Jiaotong University, Xi'an, 710048, People's Republic of China.
Zuyi YuanCardiovascular Department, First Affiliated Hospital of Medical College, Xi'an Jiaotong University, Xi'an, 710048, People's Republic of China.
Yue WuCardiovascular Department, First Affiliated Hospital of Medical College, Xi'an Jiaotong University, Xi'an, 710048, People's Republic of China.
Bo ZhouRespiratory Department, First Affiliated Hospital of Medical College, Xi'an Jiaotong University, Xi'an, 710048, People's Republic of China. zb_bob@163.com.
Junhui LiuDiagnostic Department, First Affiliated Hospital of Medical College, Xi'an Jiaotong University, Xi'an, 710048, People's Republic of China. liu1109@xjtu.edu.cn.
Jianqing SheCardiovascular Department, First Affiliated Hospital of Medical College, Xi'an Jiaotong University, Xi'an, 710048, People's Republic of China. jianqingshe@xjtu.edu.cn.ORCID http://orcid.org/0000-0003-0301-7943
First Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

National Natural Science Foundation of China 81800390Natural Science Foundation of Shaanxi Province 2017JM8016, 2018KW067, 2016SF217the Clinical Research Award of the First Affiliated Hospital of Xi'an Jiaotong University No.XJTU1AF-CRF-2018-025the Fundamental Research Funds for the Central Universities in China 1191329724, 191329849
6 · The paper itself

Abstract

backgroundIschemic heart disease (IHD) is a common cardiovascular disorder associated with inadequate blood supply to the myocardium. Chronic coronary ischemia leads to ischemic cardiomyopathy (ICM). Despite their rising prevalence and morbidity, few studies have discussed the lipids alterations in these patients.

methodsIn this cross-sectional study, we analyzed serum lipids profile in IHD and ICM patients using a lipidomics approach. Consecutive consenting patients admitted to the hospital for IHD and ICM were enrolled. Serum samples were obtained after overnight fasting. Non-targeted metabolomics was applied to demonstrate lipids metabolic profile in control, IHD and ICM patients.

resultsA total of 63 and 62 lipids were detected in negative and positive ion mode respectively. Among them, 16:0 Lyso PI, 18:1 Lyso PI in negative ion mode, and 19:0 Lyso PC, 12:0 SM d18:1/12:0, 15:0 Lyso PC, 17:0 PC, 18:1-18:0 PC in positive ion mode were significantly altered both in IHD and ICM as compared to control. 13:0 Lyso PI, 18:0 Lyso PI, 16:0 PE, 14:0 PC DMPC, 16:0 ceramide, 18:0 ceramide in negative ion mode, and 17:0 PE, 19:0 PC, 14:0 Lyso PC, 20:0 Lyso PC, 18:0 PC DSPC, 18:0-22:6 PC in positive ion mode were significantly altered only in ICM as compared to IHD and control.

conclusionUsing non-targeted lipidomics profiling, we have successfully identified a group of circulating lipids that were significantly altered in IHD and ICM. The lipids metabolic signatures shed light on potential new biomarkers and therapeutics for preventing and treating ICM.

Indexed as

AdultAgedCardiomyopathiesCase-Control StudiesCeramidesFemaleHumansLipid MetabolismLysophospholipidsMaleMetabolomicsMiddle AgedMyocardial IschemiaMyocardiumPhosphatidylcholinesSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationCeramideslysophosphatidylinositolLysophospholipidsPhosphatidylcholinesSphingomyelinsBiomarkersCardiovascular disordersIschemic cardiomyopathyIschemic heart diseaseLipidomics

Identifiers

PMID32386519
PMCPMC7210665
OpenAlexW3022659640

What OpenQuestion holds

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LicenceCC BY
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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.