Evidence mapPaperPMID 32365112Full record

ArticlePloS one2020

Proteomic and metabolomic characterization of cardiac tissue in acute myocardial ischemia injury rats.

Hua Bai, Ke Sun, Jia-Hong Wu, Ze-Hao Zhong, Sen-Lei Xu, Hong-Ru Zhang, Yi-Huang Gu, Sheng-Feng Lu

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

25 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Proteomics of the heart.Physiological reviews · 2024
    Review
  12. Article
  13. Review
  14. Acupuncture influences multiple diseases by regulating gut microbiota.Frontiers in cellular and infection microbiology · 2024
    Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

8 authors at 1 institution in 1 country.

Hua BaiAcupuncture and Tuina college, Nanjing University of Chinese Medicine, Nanjing, China.
Ke SunAcupuncture and Tuina college, Nanjing University of Chinese Medicine, Nanjing, China.
Jia-Hong WuAcupuncture and Tuina college, Nanjing University of Chinese Medicine, Nanjing, China.
Ze-Hao ZhongAcupuncture and Tuina college, Nanjing University of Chinese Medicine, Nanjing, China.
Sen-Lei XuAcupuncture and Tuina college, Nanjing University of Chinese Medicine, Nanjing, China.
Hong-Ru ZhangAcupuncture and Tuina college, Nanjing University of Chinese Medicine, Nanjing, China.
Yi-Huang GuAcupuncture and Tuina college, Nanjing University of Chinese Medicine, Nanjing, China.
Sheng-Feng LuAcupuncture and Tuina college, Nanjing University of Chinese Medicine, Nanjing, China.ORCID 0000-0001-5600-0999
Nanjing University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pathological process and mechanism of myocardial ischemia (MI) is very complicated, and remains unclear. An integrated proteomic-metabolomics analysis was applied to comprehensively understand the pathological changes and mechanism of MI. Male Sprague-Dawley rats were randomly divided into a mock surgery (MS) group and an MI group. The MI model was made by ligating the left anterior descending coronary artery, twenty-four hours after which, echocardiography was employed to assess left ventricular (LV) function variables. Blood samples and left ventricular tissues were collected for ELISA, metabolomics and proteomics analysis. The results showed that LV function, including ejection fraction (EF) and fractional shortening (FS), was significantly reduced and the level of cTnT in the serum increased after MI. iTRAQ proteomics showed that a total of 169 proteins were altered including 52 and 117 proteins with increased and decreased expression, respectively, which were mainly involved in the following activities: complement and coagulation cascades, tight junction, regulation of actin cytoskeleton, MAPK signaling pathway, endocytosis, NOD-like receptor signaling pathway, as well as phagosome coupled with vitamin digestion and absorption. Altered metabolomic profiling of this transition was mostly enriched in pathways including ABC transporters, glycerophospholipid metabolism, protein digestion and absorption and aminoacyl-tRNA biosynthesis. The integrated metabolomics and proteomics analysis indicated that myocardial injury after MI is closely related to several metabolic pathways, especially energy metabolism, amino acid metabolism, vascular smooth muscle contraction, gap junction and neuroactive ligand-receptor interaction. These findings may contribute to understanding the mechanism of MI and have implication for new therapeutic targets.

Indexed as

Acute DiseaseAnimalsMaleMetabolomicsMyocardial InfarctionMyocardial IschemiaMyocardiumProteomicsRatsRats, Sprague-DawleyVentricular Dysfunction, Left

Identifiers

PMID32365112
PMCPMC7197859
OpenAlexW3021421123

What Socratic 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 Socratic graph.