Evidence map›Paper›PMID 32299366›Full record

ArticleBMC cardiovascular disorders2020

Circulating metabolite profiles to predict response to cardiac resynchronization therapy.

Xue Gong, Zhonghan Sun, Zheyong Huang, Qian Zhou, Ziqing Yu, Xueying Chen, Wenqi Shao, Yan Zheng, Yixiu Liang, Shengmei Qin and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC cardiovascular disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 95% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Untargeted metabolomics unveils metabolic biomarkers in HFpEF.Frontiers in molecular biosciences · 2025
    Article
  2. 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

12 authors at 4 institutions in 1 country.

Xue GongDepartment of Cardiology, Shanghai Institute of Cardiovascular Disease, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China.
Zhonghan SunHuman Phenome Institute, Fudan University, Shanghai, 200438, People's Republic of China.
Zheyong HuangDepartment of Cardiology, Shanghai Institute of Cardiovascular Disease, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China.
Qian ZhouDepartment of Traditional Chinese Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, People's Republic of China.
Ziqing YuDepartment of Cardiology, Shanghai Institute of Cardiovascular Disease, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China.
Xueying ChenDepartment of Cardiology, Shanghai Institute of Cardiovascular Disease, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China.
Wenqi ShaoDepartment of Laboratory, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China.
Yan ZhengHuman Phenome Institute, Fudan University, Shanghai, 200438, People's Republic of China.
Yixiu LiangDepartment of Cardiology, Shanghai Institute of Cardiovascular Disease, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China.
Shengmei QinDepartment of Cardiology, Shanghai Institute of Cardiovascular Disease, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China.
Yangang SuDepartment of Cardiology, Shanghai Institute of Cardiovascular Disease, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China. su.yangang@zs-hospital.sh.cn.
Junbo GeDepartment of Cardiology, Shanghai Institute of Cardiovascular Disease, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China. jbge@zs-hospital.sh.cn.
Fudan University · CNZhongshan Hospital · CNThe First Affiliated Hospital, Sun Yat-sen University · CNXijing Hospital · CN

Funding

National Natural Science Foundation of China 81200170National Natural Science Foundation of China 81671934
6 · The paper itself

Abstract

backgroundHeart failure is associated with ventricular dyssynchrony and energetic inefficiency, which can be alleviated by cardiac resynchronization therapy (CRT) with approximately one-third of non-response rate. Thus far, there is no specific biomarker to predict the response to CRT in patients with heart failure. In this study, we assessed the role of the blood metabolomic profile in predicting the response to CRT.

methodsA total of 105 dilated cardiomyopathy patients with severe heart failure who received CRT were included in our two-stage study. Baseline blood samples were collected prior to CRT implantation. The response to CRT was defined according to echocardiographic criteria. Metabolomic profiling of serum samples was carried out using ultrahigh performance liquid chromatography coupled with quadrupole-time-of-flight mass spectrometry.

resultsSeventeen metabolites showed significant differences in their levels between responders and non-responders, and these metabolites were primarily involved in six pathways, including linoleic acid metabolism, Valine, leucine and isoleucine biosynthesis, phenylalanine metabolism, citrate cycle, tryptophan metabolism, and sphingolipid metabolism. A combination of isoleucine, tryptophan, and linoleic acid was identified as an ideal metabolite panel to distinguish responders from non-responders in the discovery set (n = 51 with an AUC of 0.981), and it was confirmed in the validation set (n = 54 with an AUC of 0.929).

conclusionsMass spectrometry based serum metabolomics approach provided larger coverage of metabolome which can help distinguish CRT responders from non-responders. A combination of isoleucine, tryptophan, and linoleic acid may associate with significant prognostic values for CRT.

Indexed as

Cardiac Resynchronization TherapyMetabolomicsAgedBiomarkersChromatography, High Pressure LiquidFemaleHeart FailureHumansIsoleucineLinoleic AcidMaleMass SpectrometryMiddle AgedPredictive Value of TestsRecovery of FunctionSeverity of Illness IndexBiomarkersIsoleucineLinoleic AcidTryptophanCardiac resynchronization therapyHeart failureMetabolism

Identifiers

PMID32299366
PMCPMC7164223
OpenAlexW3016501465

What OpenQuestion holds

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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.