Evidence map›Paper›PMID 28472752›Full record

ArticleRedox biology2017

Comprehensive metabolomics identified lipid peroxidation as a prominent feature in human plasma of patients with coronary heart diseases.

Jianhong Lu, Buxing Chen, Tingting Chen, Shuyuan Guo, Xinli Xue, Qun Chen, Mingming Zhao, Lin Xia, Zhengjiang Zhu, Lemin Zheng and 1 more

Open access · goldAbstract read
In one paragraph

Article in Redox biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

46 citing papers in PubMed, 79 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

11 authors at 8 institutions in 1 country.

Jianhong LuKey Laboratory of Food Safety Research, Institute for Nutritional Sciences (INS), Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai 200031, China; University of the Chinese Academy of Sciences, CAS, Beijing 100049, China; Key Laboratory of Food Safety Risk Assessment, Ministry of Health, Beijing 100000, China.
Buxing ChenDepartment of Cardiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China.
Tingting ChenInterdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 200032, China.
Shuyuan GuoKey Laboratory of Food Safety Research, Institute for Nutritional Sciences (INS), Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai 200031, China; University of the Chinese Academy of Sciences, CAS, Beijing 100049, China; Key Laboratory of Food Safety Risk Assessment, Ministry of Health, Beijing 100000, China; School of Life Science and Technology, ShanghaiTech University, Shanghai 200031, China.
Xinli XueKey Laboratory of Food Safety Research, Institute for Nutritional Sciences (INS), Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai 200031, China; University of the Chinese Academy of Sciences, CAS, Beijing 100049, China; Key Laboratory of Food Safety Risk Assessment, Ministry of Health, Beijing 100000, China.
Qun ChenKey Laboratory of Food Safety Research, Institute for Nutritional Sciences (INS), Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai 200031, China; University of the Chinese Academy of Sciences, CAS, Beijing 100049, China; Key Laboratory of Food Safety Risk Assessment, Ministry of Health, Beijing 100000, China.
Mingming ZhaoThe Institute of Cardiovascular Sciences and Institute of Systems Biomedicine, School of Basic Medical Sciences, and Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Health Science Center, Peking University, Beijing 100191, China.
Lin XiaKey Laboratory of Food Safety Research, Institute for Nutritional Sciences (INS), Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai 200031, China; Key Laboratory of Food Safety Risk Assessment, Ministry of Health, Beijing 100000, China.
Zhengjiang ZhuInterdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 200032, China.
Lemin ZhengThe Institute of Cardiovascular Sciences and Institute of Systems Biomedicine, School of Basic Medical Sciences, and Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Health Science Center, Peking University, Beijing 100191, China. Electronic address: zhengl@bjmu.edu.cn.
Huiyong YinKey Laboratory of Food Safety Research, Institute for Nutritional Sciences (INS), Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai 200031, China; University of the Chinese Academy of Sciences, CAS, Beijing 100049, China; Key Laboratory of Food Safety Risk Assessment, Ministry of Health, Beijing 100000, China; School of Life Science and Technology, ShanghaiTech University, Shanghai 200031, China. Electronic address: hyyin@sibs.ac.cn.
University of Chinese Academy of Sciences · CNPeking University · CNCapital Medical University · CNChinese Academy of Sciences · CNDeleted InstitutionShanghai Institute of Nutrition and Health · CNShanghai Institute of Organic Chemistry · CNShanghaiTech University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronary heart disease (CHD) is a complex human disease associated with inflammation and oxidative stress. The underlying mechanisms and diagnostic biomarkers for the different types of CHD remain poorly defined. Metabolomics has been increasingly recognized as an enabling technique with the potential to identify key metabolomic features in an attempt to understand the pathophysiology and differentiate different stages of CHD. We performed comprehensive metabolomic analysis in human plasma from 28 human subjects with stable angina (SA), myocardial infarction (MI), and healthy control (HC). Subsequent analysis demonstrated a uniquely altered metabolic profile in these CHD: a total of 18, 37 and 36 differential metabolites were identified to distinguish SA from HC, MI from SA, and MI from HC groups respectively. Among these metabolites, glycerophospholipid (GPL) metabolism emerged as the most significantly disturbed pathway. Next, we used a targeted metabolomic approach to systematically analyze GPL, oxidized phospholipid (oxPL), and downstream metabolites derived from polyunsaturated fatty acids (PUFAs), such as arachidonic acid and linoleic acid. Surprisingly, lipids associated with lipid peroxidation (LPO) pathways including oxidized PL and isoprostanes, isomers of prostaglandins, were significantly elevated in plasma of MI patients comparing to HC and SA, consistent with the notion that oxidative stress-induced LPO is a prominent feature in CHD. Our studies using the state-of-the-art metabolomics help to understand the underlying biological mechanisms involved in the pathogenesis of CHD; LPO metabolites may serve as potential biomarkers to differentiation MI from SA and HC.

Indexed as

Lipid PeroxidationAdultAngina, StableBiomarkersCase-Control StudiesFemaleGlycerophospholipidsHumansMaleMetabolomicsMiddle AgedMyocardial InfarctionOxidative StressPlasmaBiomarkersGlycerophospholipidsCoronary heart disease (CHD)IsoprostanesLipidomicsLipid peroxidationMetabolomicsMyocardial infarction

Identifiers

PMID28472752
PMCPMC5415551
OpenAlexW2608882234

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.