Evidence map›Paper›PMID 32997403›Full record

ArticleClinical and translational medicine2020

Insights into the prognosis of lipidomic dysregulation for death risk in patients with coronary artery disease.

Min Qin, Qian Zhu, Weihua Lai, Qilin Ma, Chen Liu, Xiaoping Chen, Yuelin Zhang, Zixian Wang, Hui Chen, Hong Yan and 7 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Clinical and translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05138731 (LC-MS Based Metabolomics Study of Coronary Heart Disease), which is not on this map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

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.

NCT05138731 unknown statusnot on this map

LC-MS Based Metabolomics Study of Coronary Heart Disease: Diagnostic and Prognostic Value of Metabolites

TypeobservationalSponsorGeneral Hospital of Ningxia Medical UniversityRan2020 to 2023Enrolled821ConditionsBiomarkersArmstreatments according guidelines
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 29 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

17 authors at 7 institutions in 2 countries.

Min QinDepartment of Pharmacy, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, P. R. China.
Qian ZhuDepartment of Pharmacy, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, P. R. China.
Weihua LaiDepartment of Pharmacy, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, P. R. China.
Qilin MaDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, Hunan, P. R. China.
Chen LiuDepartment of Cardiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China.
Xiaoping ChenDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, Hunan, P. R. China.
Yuelin ZhangDepartment of Emergency Medicine, Department of Emergency and Critical Care Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, P. R. China.
Zixian WangDepartment of Pharmacy, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, P. R. China.
Hui ChenDepartment of Pharmacy, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, P. R. China.
Hong YanGuangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Cardiovascular Institute, Guangzhou, Guangdong, P. R. China.
Heping LeiGuangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Cardiovascular Institute, Guangzhou, Guangdong, P. R. China.
Shuyao ZhangGuangzhou Red Cross Hospital affiliated to Ji-Nan University Medical College, Guangzhou, Guangdong, P. R. China.
Xuekui DongWuhan Metware Biotechnology Co., Ltd., Wuhan, Hubei, P. R. China.
Hong WangWuhan Metware Biotechnology Co., Ltd., Wuhan, Hubei, P. R. China.
Min HuangSchool of Pharmaceutical Sciences, Institute of Clinical Pharmacology, Sun Yat-Sen University, Guangzhou, Guangdong, P. R. China.
Qizhou LianDepartment of Medicine, The University of Hong Kong, Pokfulam, Hong Kong.
Shilong ZhongDepartment of Pharmacy, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, P. R. China.
Guangdong Academy of Medical Sciences · CNGuangdong Provincial People's Hospital · CNCentral South University · CNSun Yat-sen University · CNWuhan Institute of Bioengineering · CNGuangzhou Medical University · CNUniversity of Hong Kong · HK

Funding

Guangdong key areas R&D projects, China 2019B020229003National Natural Science Foundation of China 81673514National Natural Science Foundation of China 81872934Science and Technology Development Projects of Guangdong Province, China 2017B0303314041
6 · The paper itself

Abstract

backgroundDyslipidaemia contributes to the progression of coronary artery disease (CAD) toward adverse outcomes. Plasma lipidomic measure may improve the prognostic performances of clinical endpoints of CAD. Our research is designed to identify the correlations between plasma lipid species and the risks of death, major adverse cardiovascular event (MACE) and left ventricular (LV) remodeling in patients with CAD.

methodsA total of 1569 Chinese patients with CAD, 1011 single-centre patients as internal training cohort, and 558 multicentre patients as external validation cohort, were enrolled. The concentration of plasma lipids in both cohorts was determined through widely targeted lipidomic profiling. Least absolute shrinkage and selection operator Cox and multivariate Cox regressions were used to develop prognostic models for death and MACE, respectively.

resultsTen (Cer(d18:1/20:1), Cer(d18:1/24:1), PE(30:2), PE(32:0), PE(32:2), PC(O-38:2), PC(O-36:4), PC(16:1/22:2), LPC(18:2/0:0) and LPE(0:0/24:6)) and two (Cer(d18:1/20:1) and LPC(20:0/0:0)) lipid species were independently related to death and MACE, respectively. Cer(d18:1/20:1) and Cer(d18:1/24:1) were correlated with LV remodeling (P < .05). The lipidic panel incorporating 10 lipid species and two traditional biomarkers for predicting 5-year death risk represented a remarkable higher discrimination than traditional model with increased area under the curve from 76.56 to 83.65%, continuous NRI of 0.634 and IDI of 0.131. Furthermore, the panel was successfully used in differentiating multicentre patients with low, middle, or high risks (P < .0001). Further analysis indicated that the number of double bonds of phosphatidyl choline and the content of carbon atoms of phosphatidyl ethanolamines were negatively associated with death risk.

conclusionsImprovement in the prediction of death confirms the effectiveness of plasma lipids as predictors to risk classification in patients with CAD. The association between the structural characteristics of long-chain polyunsaturated fatty acids and death risk highlights the need for mechanistic research that characterizes the role of individual lipid species in disease pathogenesis.

Indexed as

coronary artery diseasedeathleft ventricular remodelinglong-chain polyunsaturated fatty acidsrisk stratificationwidely targeted lipidomic profiling

Identifiers

PMID32997403
PMCPMC7522592
OpenAlexW3091737125

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Registered trials

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.