Evidence map›Paper›PMID 33362553›Full record

ArticleFrontiers in pharmacology2020

Exploration the Mechanism of Doxorubicin-Induced Heart Failure in Rats by Integration of Proteomics and Metabolomics Data.

Yu Yuan, Simiao Fan, Lexin Shu, Wei Huang, Lijuan Xie, Chenghao Bi, Hongxin Yu, Yuming Wang, Yubo Li

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 10% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. [3-Npj imaging · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Small Extracellular Vesicles from Breast Cancer Cells Induce Cardiotoxicity.International journal of molecular sciences · 2025
    Article
  15. Review
  16. Genetic factors in the pathogenesis of cardio-oncology.Journal of translational medicine · 2024
    Review
  17. Article
  18. Article
  19. Review
  20. Water Extract ofInternational journal of molecular sciences · 2023
    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

9 authors at 1 institution in 1 country.

Yu YuanDepartment of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Simiao FanDepartment of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Lexin ShuDepartment of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Wei HuangDepartment of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Lijuan XieDepartment of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Chenghao BiDepartment of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Hongxin YuDepartment of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Yuming WangDepartment of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Yubo LiDepartment of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Tianjin University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heart failure is a common systemic disease with high morbidity and mortality worldwide. Doxorubicin (DOX) is a commonly used anthracycline broad-spectrum antitumor antibiotic with strong antitumor effect and definite curative effect. However, cardiotoxicity is the adverse reaction of drug dose cumulative toxicity, but the mechanism is still unclear. In this study, proteomics and metabonomics techniques were used to analyze the tissue and plasma of DOX-induced heart failure (HF) in rats and to clarify the molecular mechanism of the harmful effects of DOX on cardiac metabolism and function in rats from a new point of view. The results showed that a total of 278 proteins with significant changes were identified by quantitative proteomic analysis, of which 118 proteins were significantly upregulated and 160 proteins were significantly downregulated in myocardial tissue. In the metabonomic analysis, 21 biomarkers such as L-octanoylcarnitine, alpha-ketoglutarate, glutamine, creatine, and sphingosine were detected. Correlation analysis showed that DOX-induced HF mainly affected phenylalanine, tyrosine, and tryptophan biosynthesis, D-glutamine and D-glutamate metabolism, phenylalanine metabolism, biosynthesis of unsaturated fatty acids, and other metabolic pathways, suggesting abnormal amino acid metabolism, fatty acid metabolism, and glycerol phospholipid metabolism. It is worth noting that we have found the key upstream target of DOX-induced HF, PTP1B, which inhibits the expression of HIF-1α by inhibiting the phosphorylation of IRS, leading to disorders of fatty acid metabolism and glycolysis, which together with the decrease of Nrf2, SOD, Cytc, and AK4 proteins lead to oxidative stress. Therefore, we think that PTP1B may play an important role in the development of heart failure induced by doxorubicin and can be used as a potential target for the treatment of heart failure.

Indexed as

doxorubicinheart failuremetabonomicsprotein tyrosine-protein phosphatase non-receptor type 1proteomics

Identifiers

PMID33362553
PMCPMC7758990
OpenAlexW3110967658

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.